Q&A: Andrew Spitz (Co-Designer of the Arduino-Based Skube)

Andrew Spitz is a Copenhagen, Denmark-based sound designer, interaction designer, programmer, and blogger studying toward a Master’s interaction design at the Copenhagen Institute of Interaction Design (CIID). Among his various innovative projects is the Arduino-based Skube music player, which is an innovative design that enables users to find and share music.

The Arduino-based Skube

Spitz worked on the design with Andrew Nip, Ruben van der Vleuten, and Malthe Borch. Check out the video to see the Skube in action.

On his blog SoundPlusDesign.com, Spitz writes:

It is a fully working prototype through the combination of using ArduinoMax/MSP and an XBee wireless network. We access the Last.fm API to populate the Skube with tracks and scrobble, and using their algorithms to find similar music when in Discover mode.

The following is an abridged  version of an interview that appears in the December 2012 issue of audioXpress magazine, a sister publication of Circuit Cellar magazine..

SHANNON BECKER: Tell us a little about your background and where you live.

Andrew Spitz: I’m half French, half South African. I grew up in France, but my parents are South African so when I was 17, I moved to South Africa. Last year, I decided to go back to school, and I’m now based in Copenhagen, Denmark where I’m earning a master’s degree at the Copenhagen Institute of Interaction Design (CID).

SHANNON: How did you become interested in sound design? Tell us about some of your initial projects.

Andrew: From the age of 16, I was a skydiving cameraman and I was obsessed with filming. So when it was time to do my undergraduate work, I decided to study film. I went to film school thinking that I would be doing cinematography, but I’m color blind and it turned out to be a bigger problem than I had hoped. At the same time, we had a lecturer in sound design named Jahn Beukes who was incredibly inspiring, and I discovered a passion for sound that has stayed with me.

Shannon: What do your interaction design studies at CIID entail? What do you plan to do with the additional education?

Andrew: CIID is focused on a user-centered approach to design, which involves finding intuitive solutions for products, software, and services using mostly technology as our medium. What this means in reality is that we spend a lot of time playing, hacking, prototyping, and basically building interactive things and experiences of some sort.

I’ve really committed to the shift from sound design to interaction design and it’s now my main focus. That said, I feel like I look at design from the lens of a sound designer as this is my background and what has formed me. Many designers around me are very visual, and I feel like my background gives me not only a different approach to the work but also enables me to see opportunities using sound as the catalyst for interactive experiences. Lots of my recent projects have been set in the intersection among technology, sound, and people.

SHANNON: You have worked as a sound effects recordist and editor, location recordist and sound designer for commercials, feature films, and documentaries. Tell us about some of these experiences?

ANDREW: I love all aspects of sound for different reasons. Because I do a lot of things and don’t focus on one, I end up having more of a general set of skills than going deep with one—this fits my personality very well. By doing different jobs within sound, I was able to have lots of different experiences, which I loved! nLocation recording enabled me to see really interesting things—from blowing up armored vehicles with rocket-propelled grenades (RPGs) to interviewing famous artists and presidents. And, documentaries enabled me to travel to amazing places such as Rwanda, Liberia, Mexico, and Nigeria. As a sound effects recordist on Jock of the Bushvelt, a 3-D animation, I recorded animals such as lions, baboons, and leopards in the South African bush. With Bakgat 2, I spent my time recording and editing rugby sounds to create a sound effects library. This time in my life has been a huge highlight, but I couldn’t see myself doing this forever. I love technology and design, which is why I made the move...

SHANNON: Where did the idea for Skube originate?

Andrew: Skube came out of the Tangible User Interface (TUI) class at CIID where we were tasked to rethink audio in the home context. So understanding how and where people share music was the jumping-off point for creating Skube.

We realized that as we move more toward a digital and online music listening experience, current portable music players are not adapted for this environment. Sharing mSkube Videousic in communal spaces is neither convenient nor easy, especially when we all have such different taste in music.

The result of our exploration was Skube. It is a music player that enables you to discover and share music and facilitates the decision process of picking tracks when in a communal setting.

audioXpress is an Elektor International Media publication.

Debugging USB Firmware

You’ve written firmware for your USB device and are ready to test it. You attach the device to a PC and the hardware wizard announces: “The device didn’t start.” Or, the device installs but doesn’t send or receive data. Or, data is being dropped, the throughput is low, or some other problem presents itself. What do you do?

This article explores tools and techniques to debug the USB devices you design. The focus is on USB 2.0 devices, but much of the information also applies to developing USB 3.0 (SuperSpeed) devices and USB hosts for embedded systems.

VIEWING BUS TRAFFIC

If you do anything beyond a small amount of USB developing, a USB protocol analyzer will save you time and trouble. Analyzers cost less than they used to and are well worth the investment.

A hardware-based analyzer connects in a cable segment upstream from the device under test (see Photo 1).

Photo 1: The device under test connects to the analyzer, which
captures the data and passes it unchanged to the device’s host. The
cable on the back of the analyzer carries the captured data to the
analyzer’s host PC for display.

You can view the data down to each packet’s individual bytes and see exactly what the host and device did and didn’t send (see Photo 2).

Photo 2: This bus capture shows the host’s request for a configuration
descriptor and the bytes the device sent in response. Because the endpoint’s
maximum packet size is eight, the device sends the first 8 bytes in one
transaction and the final byte in a second transaction.

An analyzer can also decode data to show standard USB requests and class-specific data (see Photo 3).

Photo 3: This display decodes a received configuration descriptor and its subordinate descriptors.

To avoid corrupted data caused by the electrical effects of the analyzer’s connectors and circuits, use short cables (e.g., 3’ or less) to connect the analyzer to the device under test.

Software-only protocol analyzers, which run entirely on the device’s host PC, can also be useful. But, this kind of analyzer only shows data at the host-driver level, not the complete packets on the bus.

DEVELOPMENT STRATEGIES

The first rule for developing USB device firmware is to remember that the host computer controls the bus. Devices just need to respond to received data and events. Device firmware shouldn’t make assumptions about what the host will do next.

For example, some flash drives work under Windows but break when attached to a host with an OS that sends different USB requests or mass-storage commands, sends commands in a different order, or detects errors Windows ignores. This problem is so common that Linux has a file, unusual_devs.h, with fixes for dozens of misbehaving drives.

The first line of defense in writing USB firmware is the free USB-IF Test Suite from the USB Implementers Forum (USB-IF), the trade group that publishes the USB specifications. During testing, the suite replaces the host’s USB driver with a special test driver. The suite’s USB Command Verifier tool checks for errors (e.g., malformed descriptors, invalid responses to standard USB requests, responses to Suspend and Resume signaling, etc.). The suite also provides tests for devices in some USB classes, such as human interface devices (HID), mass storage, and video.

Running the tests will usually reveal issues that need attention. Passing the tests is a requirement for the right to display the USB-IF’s Certified USB logo.

LAYERED COMMUNICATIONS

Like networks, USB communications have layers that isolate different logical functions (see Table 1).

Table 1: USB communications use layers, which are each responsible for a
specific logical function.

The USB protocol layer manages USB transactions, which carry data packets to and from device endpoints. A device endpoint is a buffer that is a source or sink of data at the device. The host sends data to Out endpoints and receives data from In endpoints. (Even though endpoints are on devices, In and Out are defined from the host’s perspective.)

The device layer manages USB transfers, with each transfer moving a chunk of data consisting of one or more transactions. To meet the needs of different peripherals, the USB 2.0 specification defines four transfer types: control, interrupt, bulk, and isochronous.

The function layer manages protocols specific to a device’s function (e.g., mouse, printer, or drive). The function protocols may be a combination of USB class, industry, and vendor-defined protocols.

CONTROLLER ARCHITECTURES

The layers supported by device firmware vary with the device hardware. At one end of the spectrum, a Future Technology Devices International (FTDI) FT232R USB UART controller handles all the USB protocols in hardware. The chip has a USB device port that connects to a host computer and a UART port that connects to an asynchronous serial port on the device.

Device firmware reads and writes data on the serial port, and the FT232R converts it between the USB and UART protocols. The device firmware doesn’t have to know anything about USB. This feature has made the FT232R and similar chips popular!

An example of a chip that is more flexible but requires more firmware support is Microchip Technology’s PIC18F4550 microcontroller, which has an on-chip, full-speed USB device controller. In return for greater firmware complexity, the PIC18F4550 isn’t limited to a particular host driver and can support any USB class or function.

Each of the PIC18F4550’s USB endpoints has a series of registers—called a buffer descriptor table (BDT)—that store the endpoint buffer’s address, the number of bytes to send or receive, and the endpoint’s status. One of the BDT’s status bits determines the BDT’s ownership. When the CPU owns the BDT, firmware can write to the registers to prepare to send data or to retrieve received data. When the USB module owns the BDT, the endpoint can send or receive data on the bus.

To send a data packet from an In endpoint, firmware stores the bytes’ starting address to send and the number of bytes and sets a register bit to transfer ownership of the BDT to the USB module. The USB module sends the data in response to a received In token packet on the endpoint and returns BDT ownership to the CPU so firmware can set up the endpoint to send another packet.

To receive a packet on an Out endpoint, firmware stores the buffer’s starting address for received bytes and the maximum number of bytes to receive and transfers ownership of the BDT to the USB module. When data arrives, the USB module returns BDT ownership to the CPU so firmware can retrieve the data and transfer ownership of the BDT back to the USB module to enable the receipt of another packet.

Other USB controllers have different architectures and different ways of managing USB communications. Consult your controller chip’s datasheet and programming guide for details. Example code from the chip vendor or other sources can be helpful.

DEBUGGING TRANSACTIONS

A USB 2.0 transaction consists of a token packet and, as needed, a data packet and a handshake packet. The token packet identifies the packet’s type (e.g., In or Out), the destination device and endpoint, and the data packet direction.

The data packet, when present, contains data sent by the host or device. The handshake packet, when present, indicates the transaction’s success or failure.

The data and handshake packets must transmit quickly after the previous packet, with only a brief inter-packet delay and bus turnaround time, if needed. Thus, device hardware typically manages the receiving and sending of packets within a transaction.

For example, if an endpoint’s buffer has room to accept a data packet, the endpoint stores the received data and returns ACK in the handshake packet. Device firmware can then retrieve the data from the buffer. If the buffer is full because firmware didn’t retrieve previously received data, the endpoint returns NAK, requiring the host to try again. In a similar way, an In endpoint will NAK transactions until firmware has loaded the endpoint’s buffer with data to send.

Fine tuning the firmware to quickly write and retrieve data can improve data throughput by reducing or eliminating NAKs. Some device controllers support ping-pong buffers that enable an endpoint to store multiple packets, alternating between the buffers, as needed.

LOST DATA

In all but isochronous transfers, a data-toggle value in the data packet’s packet identification (PID) field guards against missed or duplicate data packets. If you’re debugging a device where data is transmitting on the bus and the receiver is returning ACK but ignoring or discarding the data, chances are good that the device isn’t sending or expecting the correct data-toggle value. Some device controllers handle the data toggles completely in hardware, while others require some firmware control.

Each endpoint maintains its own data toggle. The values are DATA0 (0011B) and DATA1 (1011B). Upon detecting an incoming data packet, the receiver compares its data toggle’s state with the received data toggle. If the values match, the receiver toggles its value and returns ACK, causing the sender to toggle its value for the next transaction.

The next received packet should contain the opposite data toggle, and again the receiver toggles its bit and returns ACK. Except for control transfers, the data toggle on each end continues to alternate in each transaction. (Control transfers always use DATA0 in the Setup stage, toggle the value for each transaction in the Data stage, and use DATA1 in the Status stage.)

If the receiver returns NAK or no response, the sender doesn’t toggle its bit and tries again with the same data and data toggle. If a receiver returns ACK, but for some reason the sender doesn’t see the ACK, the sender thinks the receiver didn’t receive the data and tries again using the same data and data toggle. In this case, the repeated data receiver ignores the data, doesn’t toggle the data toggle, and returns ACK, resynchronizing the data toggles. If the sender mistakenly sends two packets in a row with the same data-toggle value, upon receiving the second packet, the receiver ignores the data, doesn’t toggle its value, and returns ACK.

DEFINING A TRANSFER

All USB devices must support control transfers and may support other transfer types. Control transfers provide a structure for sending requests but have no guaranteed delivery time. Interrupt transfers have a guaranteed maximum latency (i.e., delay) between transactions, but the host permits less bandwidth for interrupt transfers compared to other transfer types. Bulk transfers are the fastest on an otherwise idle bus, but they have no guaranteed delivery time, and thus can be slow on a busy bus. Isochronous transfers have guaranteed delivery time but no built-in error correction.

A transfer’s amount of data depends in part on the higher-level protocol that determines the data packets’ contents. For example, a keyboard sends keystroke data in an interrupt transfer that consists of one transaction with 8 data bytes. To send a large file to a drive, the host typically uses one or more large transfers consisting of multiple transactions. For a high-speed drive, each transaction, except possibly the last one, has 512 data bytes, which is the maximum-allowed packet size for high-speed bulk endpoints.

What determines a transfer’s end varies with the USB class or vendor protocol. In many cases, a transfer ends with a short packet, which is a packet that contains less than the packet’s maximum-allowed data bytes. If the transfer has an even multiple of the packet’s maximum-allowed bytes, the sender may indicate the end of the transfer with a zero-length packet (ZLP), which is a data packet with a PID and error-checking bits but no data.

For example, USB virtual serial-port devices in the USB communications device class use short packets to indicate the transfer’s end. If a device has sent data that is an exact multiple of the endpoint’s maximum packet size and the host sends another In token packet, the endpoint should return a ZLP to indicate the data’s end.

DEBUGGING ENUMERATION

Upon device attachment, in a process called enumeration, the host learns about the device by requesting a series of data structures called descriptors. The host uses the descriptors’ information to assign a driver to the device.

If enumeration doesn’t complete, the device doesn’t have an assigned driver, and it can’t perform its function with the host. When Windows fails to find an appropriate driver, the setupapi.dev.log file in Windowsinf (for Windows 7) can offer clues about what went wrong. A protocol analyzer shows if the device returned all requested descriptors and reveals mistakes in the descriptors.

During device development, you may need to change the descriptors (e.g., add, remove, or edit an endpoint descriptor). Windows has the bad habit of remembering a device’s previous descriptors on the assumption that a device will never change its descriptors. To force Windows to use new descriptors, uninstall then physically remove and reattach the device from Windows Device Manager. Another option is to change the device descriptor’s product ID to make the device appear as a different device.

DEBUGGING TRANSFERS

Unlike the other transfer types, control transfers have multiple stages: setup, (optional) data, and status. Devices must accept all error-free data packets that follow a Setup token packet and return ACK. If the device is in the middle of another control transfer and the host sends a new Setup packet, the device must abandon the first transfer and begin the new one. The data packet in the Setup stage contains important information firmware should completely decode (see Table 2).

Table 2: Device firmware should fully decode the data received in a control transfer’s Setup stage. (Source: USB Implementers Forum, Inc.)

The wLength field specifies how many bytes the host wants to receive. A device shouldn’t assume how much data the host wants but should check wLength and send no more than the requested number of bytes.

For example, a request for a configuration descriptor is actually a request for the configuration descriptor and all of its subordinate descriptors. But, in the first request for a device’s configuration descriptor, the host typically sets the wLength field to 9 to request only the configuration descriptor. The descriptor contains a wTotalLength value that holds the number of bytes in the configuration descriptor and its subordinate descriptors. The host then resends the request setting wLength to wTotalLength or a larger value (e.g., FFh). The device returns the requested descriptor set up to wTotalLength. (Don’t assume the host will do it this way. Always check wLength!)

Each Setup packet also has a bmRequestType field. This field specifies the data transfer direction (if any), whether the recipient is the device or an interface or endpoint, and whether the request is a standard USB request, a USB class request, or a vendor-defined request. Firmware should completely decode this field to correctly identify received requests.

A composite device has multiple interfaces that function independently. For example, a printer might have a printer interface, a mass-storage interface for storing files, and a vendor-specific interface to support vendor-defined capabilities. For requests targeted to an interface, the wIndex field typically specifies which interface applies to the request.

INTERRUPT TRANSFER TIMING

For interrupt endpoints, the endpoint descriptor contains a bInterval value that specifies the endpoint’s maximum latency. This value is the longest delay a host should use between transaction attempts.

A host can use the bInterval delay time or a shorter period. For example, if a full-speed In endpoint has a bInterval value of 10, the host can poll the endpoint every 1 to 10 ms. Host controllers typically use predictable values, but a design shouldn’t rely on transactions occurring more frequently than the bInterval value.

Also, the host controller reserves bandwidth for interrupt endpoints, but the host can’t send data until a class or vendor driver provides something to send. When an application requests data to be sent or received, the transfer’s first transaction may be delayed due to passing the request to the driver and scheduling the transfer.

Once the host controller has scheduled the transfer, any additional transaction attempts within the transfer should occur on time, as defined by the endpoint’s maximum latency. For this reason, sending a large data block in a single transfer with multiple transactions can be more efficient than using multiple transfers with a portion of the data in each transfer.

DEVICE FUNCTIONS

Most devices’ functions fit a defined USB class (e.g., mass storage, printer, audio, etc.). The USB-IF’s class specifications define protocols for devices in the classes.

For example, devices in the HID class must send and receive all data in data structures called reports. The supported report’s length and the meaning of its data (e.g., keypresses, mouse movements, etc.) are defined in a class-specific report descriptor.

If your HID-class device is sending data but the host application isn’t seeing the data, verify the number of bytes the device is sending matches the number of bytes in a defined report. The device should prepend a report-ID byte to the data only if the HID supports report IDs other than the zero default value.

In many devices, class specifications define class-specific requests or other requirements. For example, a mass storage device that uses the bulk-only protocol must provide a unique serial number in a string descriptor. Carefully read and heed any class specifications that apply to your device!

Many devices also support industry protocols to perform higher-level functions. Printers typically support one or more printer-control languages (e.g., PCL and Postscript). Mass-storage devices support SCSI commands to transfer data blocks and a file system (e.g., FAT32) to define a directory structure.

The higher-level industry protocols don’t depend on a particular hardware interface, so there is little about debugging them that is USB-specific. But, because these protocols can be complicated, example code for your device can be helpful.

In the end, much about debugging USB firmware is like debugging any hardware or software. A good understanding of how the communications should work provides a head start on writing good firmware and finding the source of any problems that may appear.

Jan Axelson is the author of USB Embedded Hosts, USB Complete, and Serial Port Complete. Jan’s PORTS web forum is available at www.lvr.com.

RESOURCES

Jan Axelson’s Lakeview Research, “USB Development Tools: Protocol analyzers,” www.lvr.com/development_tools.htm#analyzers.

This article appears in Circuit Cellar 268 (November 2012).

DIY Green Energy Design Projects

Ready to start a low-power or energy-monitoring microcontroller-based design project? You’re in luck. We’re featuring eight award-winning, green energy-related designs that will help get your creative juices flowing.

The projects listed below placed at the top of Renesas’s RL78 Green Energy Challenge.

Electrostatic Cleaning Robot: Solar tracking mirrors, called heliostats, are an integral part of Concentrating Solar Power (CSP) plants. They must be kept clean to help maximize the production of steam, which generates power. Using an RL78, the innovative Electrostatic Cleaning Robot provides a reliable cleaning solution that’s powered entirely by photovoltaic cells. The robot traverses the surface of the mirror and uses a high voltage AC electric field to sweep away dust and debris.

Parts and circuitry inside the robot cleaner

Cloud Electrofusion Machine: Using approximately 400 times less energy than commercial electrofusion machines, the Cloud Electrofusion Machine is designed for welding 0.5″ to 2″ polyethylene fittings. The RL78-controlled machine is designed to read a barcode on the fitting which determines fusion parameters and traceability. Along with the barcode data, the system logs GPS location to an SD card, if present, and transmits the data for each fusion to a cloud database for tracking purposes and quality control.

Inside the electrofusion machine (Source: M. Hamilton)

The Sun Chaser: A GPS Reference Station: The Sun Chaser is a well-designed, solar-based energy harvesting system that automatically recalculates the direction of a solar panel to ensure it is always facing the sun. Mounted on a rotating disc, the solar panel’s orientation is calculated using the registered GPS position. With an external compass, the internal accelerometer, a DC motor and stepper motor, you can determine the solar panel’s exact position. The system uses the Renesas RDKRL78G13 evaluation board running the Micrium µC/OS-III real-time kernel.

[Video: ]

Water Heater by Solar Concentration: This solar water heater is powered by the RL78 evaluation board and designed to deflect concentrated amounts of sunlight onto a water pipe for continual heating. The deflector, armed with a counterweight for easy tilting, automatically adjusts the angle of reflection for maximum solar energy using the lowest power consumption possible.

RL78-based solar water heater (Source: P. Berquin)

Air Quality Mapper: Want to make sure the air along your daily walking path is clean? The Air Quality Mapper is a portable device designed to track levels of CO2 and CO gasses for constructing “Smog Maps” to determine the healthiest routes. Constructed with an RDKRL78G13, the Mapper receives location data from its GPS module, takes readings of the CO2 and CO concentrations along a specific route and stores the data in an SD card. Using a PC, you can parse the SD card data, plot it, and upload it automatically to an online MySQL database that presents the data in a Google map.

Air quality mapper design (Source: R. Alvarez Torrico)

Wireless Remote Solar-Powered “Meteo Sensor”: You can easily measure meteorological parameters with the “Meteo Sensor.” The RL78 MCU-based design takes cyclical measurements of temperature, humidity, atmospheric pressure, and supply voltage, and shares them using digital radio transceivers. Receivers are configured for listening of incoming data on the same radio channel. It simplifies the way weather data is gathered and eases construction of local measurement networks while being optimized for low energy usage and long battery life.

The design takes cyclical measurements of temperature, humidity, atmospheric pressure, and supply voltage, and shares them using digital radio transceivers. (Source: G. Kaczmarek)

Portable Power Quality Meter: Monitoring electrical usage is becoming increasingly popular in modern homes. The Portable Power Quality Meter uses an RL78 MCU to read power factor, total harmonic distortion, line frequency, voltage, and electrical consumption information and stores the data for analysis.

The portable power quality meter uses an RL78 MCU to read power factor, total harmonic distortion, line frequency, voltage, and electrical consumption information and stores the data for analysis. (Source: A. Barbosa)

High-Altitude Low-Cost Experimental Glider (HALO): The “HALO” experimental glider project consists of three main parts. A weather balloon is the carrier section. A glider (the payload of the balloon) is the return section. A ground base section is used for communication and display telemetry data (not part of the contest project). Using the REFLEX flight simulator for testing, the glider has its own micro-GPS receiver, sensors and low-power MCU unit. It can take off, climb to pre-programmed altitude and return to a given coordinate.

High-altitude low-cost experimental glider (Source: J. Altenburg)

CC268: The History of Embedded Tech

At the end of September 2012, an enthusiastic crew of electrical engineers and journalists (and significant others) traveled to Portsmouth, NH, from locations as far apart as San Luis Obispo, CA,  and Paris, France, to celebrate Circuit Cellar’s 25th anniversary. Attendees included Don Akkermans (Director, Elektor International Media), Steve Ciarcia (Founder, Circuit Cellar), the current magazine staff, and several well-known engineers, editors, and columnists. The event marked the beginning of the next chapter in the history of this long-revered publication. As you’d expect, contributors and staffers both reminisced about the past and shared ideas about its future. And in many instances, the conversations turned to the content in this issue, which was at that time entering the final phase of production. Why? We purposely designed this issue (and next month’s) to feature a diversity of content that would represent the breadth of coverage we’ve come to deliver during the past quarter century. A quick look at this issue’s topics gives you an idea of how far embedded technology has come. The topics also point to the fact that some of the most popular ’80s-era engineering concerns are as relevant as ever. Let’s review.

In the earliest issues of Circuit Cellar, home control was one of the hottest topics. Today, inventive DIY home control projects are highly coveted by professional engineers and newbies alike. On page 16, Scott Weber presents an interesting GPS-based time server for lighting control applications. An MCU extracts time from GPS data and transmits it to networked devices.

The time-broadcasting device includes a circuit board that’s attached to a GPS module. (Source: S. Weber, CC268)

Thiadmer Riemersma’s DIY automated component dispenser is a contemporary solution to a problem that has frustrated engineers for decades (p. 26). The MCU-based design simplifies component management and will be a welcome addition to any workbench.

The DIY automated component dispenser. (Source: T. Riemersma, CC268)

USB technology started becoming relevant in the mid-to-late 1990s, and since then has become the go-to connection option for designers and end users alike. Turn to page 30 for Jan Axelson’s  tips about debugging USB firmware. Axelson covers controller architectures and details devices such as the FTDI FT232R USB UART controller and Microchip Technology’s PIC18F4550 microcontroller.

Debugging USB firmware (Source: J. Axelson, CC268)

Electrical engineers have been trying to “control time” in various ways since the earliest innovators began studying and experimenting with electric charge. Contemporary timing control systems are implemented in a amazing ways. For instance, Richard Lord built a digital camera controller that enables him to photograph the movement of high-speed objects (p. 36).

Security and product reliability are topics that have been on the minds of engineers for decades. Whether you’re working on aerospace electronics or a compact embedded system for your workbench (p. 52), you’ll want to ensure your data is protected and that you’ve gone through the necessary steps to predict your project’s likely reliability (p. 60).

The issue’s last two articles detail how to use contemporary electronics to improve older mechanical systems. On page 64 George Martin presents a tachometer design you can implement immediately in a machine shop. And lastly, on page 70, Jeff Bachiochi wraps up his series “Mechanical Gyroscope Replacement.” The goal is to transmit reliable data to motor controllers. The photo below shows the Pololu MinIMU-9.

The Pololu MinIMU-9’s sensor axes are aligned with the mechanical gyro so the x and y output pitch and roll, respectively. (Source: J. Bachiochi, CC268)

Autonomous Mobile Robot (Part 1): Overview & Hardware

Welcome to “Robot Boot Camp.” In this two-part article series, I’ll explain what you can do with a basic mobile machine, a few sensors, and behavioral programming techniques. Behavioral programming provides distinct advantages over other programming techniques. It is independent of any environmental model, and it is more robust in the face of sensor error, and the behaviors can be stacked and run concurrently.

My objectives for my recent robot design were fairly modest. I wanted to build a robot that could cruise on its own, avoid obstacles, escape from inadvertent collisions, and track a light source. I knew that if I could meet such objective other more complex behaviors would be possible (e.g., self-docking on low power). There certainly many commercial robots on the market that could have met my requirements. But I decided that my best bet would be to roll my own. I wanted to keep things simple, and I wanted to fully understand the sensors and controls for behavioral autonomous operation. The TOMBOT is the fruit of that labor (see Photo 1a). A colleague came up with the name TOMBOT in honor of its inventor, and the name kind of stuck.

Photo 1a—The complete TOMBOT design. b—The graphics display is nice feature.

In this series of articles, I’ll present lessons learned and describe the hardware/software design process. The series will detail TOMBOT-style robot hardware and assembly, as well as behavior programming techniques using C code. By the end of the series, I’ll have covered a complete behavior programming library and API, which will be available for experimentation.

DESIGN BASICS

The TOMBOT robot is certainly minimal, no frills: two continuous-rotation, variable-speed control servos; two IR (850 nm) analog distance measurement sensors (4- to 30-cm range); two CdS photoconductive cells with good lux response in visible spectrum; and, finally, a front bumper (switch-activated) for collision detection. The platform is simple: servos and sensors on the left and right side of two level platforms. The bottom platform houses bumper, batteries, and servos. The top platform houses sensors and microcontroller electronics. The back part of the bottom platform uses a central skid for balance between the two servos (see Photo 1).

Given my background as a Microchip Developer and Academic Partner, I used a Microchip Technology PIC32 microcontroller, a PICkit 3 programmer/debugger, and a free Microchip IDE and 32-bit complier for TOMBOT. (Refer to the TOMBOT components list at the end of this article.)

It was a real thrill to design and build a minimal capability robot that can—with stacking programming behaviors—emulate some “intelligence.” TOMBOT is still a work in progress, but I recently had the privilege of demoing it to a first grade class in El Segundo, CA, as part of a Science Technology Engineering and Mathematics (STEM) initiative. The results were very rewarding, but more on that later.

BEHAVIORAL PROGRAMMING

A control system for a completely autonomous mobile robot must perform many complex information-processing tasks in real time, even for simple applications. The traditional method to building control systems for such robots is to separate the problem into a series of sequential functional components. An alternative approach is to use behavioral programming. The technique was introduced by Rodney Brooks out of the MIT Robotics Lab, and it has been very successful in the implementation of a lot of commercial robots, such as the popular Roomba vacuuming. It was even adopted for space applications like NASA’s Mars Rover and military seekers.

Programming a robot according to behavior-based principles makes the program inherently parallel, enabling the robot to attend simultaneously to all hazards it may encounter as well as any serendipitous opportunities that may arise. Each behavior functions independently through sensor registration, perception, and action. In the end, all behavior requests are prioritized and arbitrated before action is taken. By stacking the appropriate behaviors, using arbitrated software techniques, the robot appears to show (broadly speaking) “increasing intelligence.” The TOMBOT modestly achieves this objective using selective compile configurations to emulate a series of robot behaviors (i.e., Cruise, Home, Escape, Avoid, and Low Power). Figure 1 is a simple model illustration of a behavior program.

Figure 1: Behavior program

Joseph Jones’s Robot Programming: A Practical Guide to Behavior-Based Robotics (TAB Electronics, 2003) is a great reference book that helped guide me in this effort. It turns out that Jones was part of the design team for the Roomba product.

Debugging a mobile platform that is executing a series of concurrent behaviors can be daunting task. So, to make things easier, I implemented a complete remote control using a wireless link between the robot and a PC. With this link, I can enable or disable autonomous behavior, retrieve the robot sensor status and mode of operations, and curtail and avoid potential robot hazard. In addition to this, I implemented some additional operator feedback using a small graphics display, LEDs, and a simple sound buzzer. Note the TOMBOT’s power-up display in Photo 1b. We take Robot Boot Camp very seriously.

Minimalist System

As you can see in the robot’s block diagram (see Figure 2), the TOMBOT is very much a minimalist system with just enough components to demonstrate autonomous behaviors: Cruise, Escape, Avoid, and Home. All these behaviors require the use of left and right servos for autonomous maneuverability.

Figure 2: The TOMBOT system

The Cruise behavior just keeps the robot in motion in lieu of any stimulus. The Escape behavior uses the bumper to sense a collision and then 180° spin with reverse. The Avoid behavior makes use of continuous forward-looking IR sensors to veer left or right upon approaching a close obstacle. The Home behavior utilizes the front optical photocells to provide robot self-guidance to a strong light highly directional source. It all should add up to some very distinct “intelligent” operation. Figure 3 depicts the basic sensor and electronic layout.

Figure 3: Basic sensor and electronic layout

TOMBOT Assembly

The TOMBOT uses the low-cost robot platform (ArBot Chassis) and wheel set (X-Wheel assembly) from Budget Robotics (see Figure 4).

Figure 4: The platform and wheel set

A picture is worth a thousand words. Photo 2 shows two views of the TOMBOT prototype.

Photo 2a: The TOMBOT’s Sharp IR sensors, photo assembly, and more. b: The battery pack, right servo, and more.

Photo 2a shows dual Sharp IR sensors. Just below them is the photocell assembly. It is a custom board with dual CdS GL5528 photoconductive cells and 2.2-kΩ current-limiting resistors. Below this is a bumper assembly consisting of two SPDT Snap-action switches with lever (All Electronics Corp. CAT# SMS-196, left and right) fixed to a custom pre-fab plastic front bumper. Also shown is the solderless breakout board and left servo. Photo 2b shows the rechargeable battery pack that resides on the lower base platform and associated power switch. The electronics stack is visible. Here the XBee/Buzzer and graphics card modules residing on the 32-bit Experimenter. The Experimenter is plugged into a custom carrier board that allows for an interconnection to the solderless breakout to the rest of the system. Finally, note that the right servo is highlighted. The total TOMBOT package is not ideal; but remember, I’m talking about a prototype, and this particular configuration has held up nicely in several field demos.

I used Parallax (Futaba) continuous-rotation servos. They use a three-wire connector (+5 V, GND, and Control).

Figure 5 depicts a second-generation bumper assembly.  The same snap-action switches with extended levers are bent and fashioned to interconnect a bumper assembly as shown.

Figure 5: Second-generation bumper assembly

TOMBOT Electronics

A 32-bit Micro Experimenter is used as the CPU. This board is based the high-end Microchip Technology PIC32MX695F512H 64-pin TQFP with 128-KB RAM, 512-KB flash memory, and an 80-MHz clock. I did not want to skimp on this component during the prototype phase. In addition the 32-bit Experimenter supports a 102 × 64 monographic card with green/red backlight controls and LEDs. Since a full graphics library was already bundled with this Experimenter graphics card, it also represented good risk reduction during prototyping phase. Details for both cards are available on the Kiba website.

The Experimenter supports six basic board-level connections to outside world using JP1, JP2, JP3, JP4, BOT, and TOP headers.  A custom carrier board interfaces to the Experimenter via these connections and provides power and signal connection to the sensors and servos. The custom carrier accepts battery voltage and regulates it to +5 VDC. This +5 V is then further regulated by the Experimenter to its native +3.3-VDC operation. The solderless breadboard supports a resistor network to sense a +9-V battery voltage for a +3.3-V PIC processor. The breadboard also contains an LM324 quad op-amp to provide a buffer between +3.3-V logic of the processor and the required +5-V operation of the servo. Figure 6 is a detailed schematic diagram of the electronics.

Figure 6: The design’s circuitry

A custom card for the XBee radio carrier and buzzer was built that plugs into the Experimenter’s TOP and BOT connections. Photo 3 shows the modules and the carrier board. The robot uses a rechargeable 1,600-mAH battery system (typical of mid-range wireless toys) that provides hours of uninterrupted operation.

Photo 3: The modules and the carrier board

PIC32 On-Chip Peripherals

The major PIC32 peripheral connection for the Experimenter to rest of the system is shown. The TOMBOT uses PWM for servo, UART for XBee, SPI and digital for LCD, analog input channels for all the sensors, and digital for the buzzer and bumper detect. The key peripheral connection for the Experimenter to rest of the system is shown in Figure 7.

Figure 7: Peripheral usage

The PIC32 pinouts and their associated Experimenter connections are detailed in Figure 8.

Figure 8: PIC32 peripheral pinouts and EXP32 connectors

The TOMBOT Motion Basics and the PIC32 Output Compare Peripheral

Let’s review the basics for TOMBOT motor control. The servos use the Parallax (Futaba) Continuous Rotation Servos. With two-wheel control, the robot motion is controlled as per Table 1.

Table 1: Robot motion

The servos are controlled by using a 20-ms (500-Hz) pulse PWM pattern where the PWM pulse can from 1.0 ms to 2.0 ms. The effects on the servos for the different PWM are shown in Figure 9.

Figure 9: Servo PWM control

The PIC32 microcontroller (used in the Experimenter) has five Output Compare modules (OCX, where X =1 , 2, 3, 4, 5). We use two of these peripherals, specifically OC3, OC4 to generate the PWM to control the servo speed and direction. The OCX module can use either 16 Timer2 (TMR2) or 16 Timer3 (TMR3) or combined as 32-bit Timer23 as a time base and for period (PR) setting for the output pulse waveform. In our case, we are using Timer23 as a PR set to 20 ms (500 Hz). The OCXRS and OCXR registers are loaded with a 16-bit value to control width of the pulse generated during the output period. This value is compared against the Timer during each period cycle. The OCX output starts high and then when a match occurs OCX logic will generate a low on output. This will be repeated on a cycle-by-cycle basis (see Figure 10).

Figure 10: PWM generation

Next Comes Software

We set the research goals and objectives for our autonomous robot. We covered the hardware associated with this robot and in the next installment we will describe the software and operation.

Tom Kibalo holds a BSEE from City College of New York and an MSEE from the University of Maryland. He as 39 years of engineering experience with a number of companies in the Washington, DC area. Tom is an adjunct EE facility member for local community college, and he is president of Kibacorp, a Microchip Design Partner.

MCU-Based Prosthetic Arm with Kinect

James Kim—a biomedical student at Ryerson University in Toronto, Canada—recently submitted an update on the status of an interesting prosthetic arm design project. The design features a Freescale 9S12 microcontroller and a Microsoft Kinect, which tracks arm movements that are then reproduced on the prosthetic arm.

He also submitted a block diagram.

Overview of the prosthetic arm system (Source: J. Kim)

Kim explains:

The 9S12 microcontroller board we use is Arduino form-factor compatible and was coded in C using Codewarrior.  The Kinect was coded in C# using Visual Studio using the latest version of Microsoft Kinect SDK 1.5.  In the article, I plan to discuss how the microcontroller was set up to do deterministic control of the motors (including the timer setup and the PID code used), how the control was implemented to compensate for gravitational effects on the arm, and how we interfaced the microcontroller to the PC.  This last part will involve a discussion of data logging as well as interfacing with the Kinect.

The Kinect tracks a user’s movement and the prosthetic arm replicates it. (Source: J. Kim, YouTube)

The system includes:

Circuit Cellar intends to publish an article about the project in an upcoming issue.

2012 ESC Boston: Tech from Microchip, Fujitsu, & More

The 2012 Embedded Systems Conference in Boston started September 17 and ends today. Here’s a wrap-up of the most interesting news and products.

MICROCHIP TECHNOLOGY

Microchip Technology announced Monday morning the addition of 15 new USB PIC microcontrollers to its line of full-speed USB 2.0 Device PIC MCUs. In a short presentation, Microchip product marketing manager Wayne Freeman introduced the three new 8-bit, crystal-free USB PIC families.

The PIC16F145x family (three devices) features the Microchip’s lowest-cost MCUs. The devices are available in 14- and 20-pin packages, support full-speed USB communication, don’t require external crystals, include PWM with complement generation, and more. They’re suitable for applications requiring USB connectivity and cap sense capabilities.

Microchip’s three PIC18F2x/4xK50 devices (available in 28- and 40/44-pins) enable “easy migration” from legacy PIC18 USB devices. In addition to 1.8- to 5-V operation, they feature a Charge Time Measurement Unit (CTMU) for cap-touch sensing, which makes them handy for data logging systems for tasks such as temperature and humidity measurement.

The nine devices in the PIC18F97J94 family are available in 64-, 80-, and 100-pin packages. Each device includes a 60 × 8 LCD controller and also integrates a real-time clock/calendar (RTCC) with battery back-up. Systems such as hand-held scanners and home automation panels are excellent candidates for these devices.

Several interesting designs were on display at the Microchip booth.

  • The M2M PICtail module was used in an SMS texting system.

This SMS text messaging system was featured at Microchip’s Machine-to-Machine (M2M) station. The M2M PICtail module (located on the bottom left) costs around $200.

  • Microchip featured its PIC MCU iPod Accessory Kit in glucose meter design. It was one of several healthcare-related systems that exhibitors displayed at the conference.

The interface can be an iPhone, iPad, or iPod Touch.

Visit www.microchip.com for more information.

RENESAS

As most of you know, the entry period for the Renesas RL78 Green Energy Challenge ended on August 31 and the judges are now reviewing the entries. Two particular demos on display at the Renesas booth caught my attention.

  • A lemon powering an RL78 L12 MCU:

Lemon power and the RL78

  • An R8C capacitive touch system:

Cap touch technology is on the minds of countless electrical engineers.

Go to www.am.renesas.com.

FREESCALE

I was pleased to see a reprint of Mark Pedley’s recent Circuit Cellar article, “eCompass” (August 2012), on display at Freescale’s booth. The article covers the topics of building and calibrating a tilt‐compensating electronic compass.

A Circuit Cellar reprint for attendees

Two of the more interesting projects were:

  • An Xtrinsic sensor demo:

Xtrinsic and e-compass

  • A Tower-based medical suitcase, which included a variety of boards: MED-BPM (a dev board for blood pressure monitor applications), MED-EKG (an aux board for EKG and heart rate monitoring applications), and more.

Tower System-based medical suitcase

STMicro

I stopped by the STMicro booth for a look at the STM32F3DISCOVERY kit, but I quickly became interested in the Dual Interface EEPROM station. It was the smartphone that caught my attention (again). Like other exhibitors, STMicro had a smartphone-related application on hand.

  • The Dual EEPROMs enable you to access memory via either  wired or RF interfaces. Energy harvesting is the new function STMicro is promoting. According to the documentation, “It also features an energy harvesting and RF status function.”

The Dual Interface EEPROM family has an RF and I2C interface

  • According to STMicro’s website, the DATALOG-M24LR-A PCB (the green board, top left) “features an M24LR64-R Dual Interface EEPROM IC connected to an STM8L101K3 8-bit microcontroller through an I2C bus on one side, and to a 20 mm x 40 mm 13.56 MHz etched RF antenna on the other one side. The STM8L101K3 is also interfaced with an STTS75 temperature sensor and a CR2330 coin cell battery.”

FUJITSU

I’m glad I spend a few moments at the Fujitsu booth. We rarely see Circuit Cellar authors using Fujitsu parts, so I wanted to see if there was something you’d find intriguing. Perhaps the following images will pique your interest in Fujitsu technologies.

The FM3 family, which features the ARM Cortext-M3 core, is worth checking out. FM3 connectivity demonstration

Connectivity demo

Check out Fujitsu’s System Memory site and document ion to see if its memory products and solutions suit your needs. Access speed comparison: FRAM vs. SRAM vs. EEPROM

Access speed comparison

The ESC conference site has details about the other exhibitors that had booths in the exhibition hall.

 

 

 

 

 

 

DIY 10.1˝ Touchscreen Home Control System

Domotics (home automation) control systems are among the most innovative and rewarding design projects creative electrical engineers can undertake. Let’s take a look at an innovative Beagle Board-based control system that enables a user to control lights with a 10.1˝ capacitive touchscreen.

Domotics control system

The design features the following modules:

• An I/O board for testing purposes
• An LED strip board for controlling an RGB LED strip
• A relay board for switching 230-VAC devices
• An energy meter for measuring on/off (and also for logging)

ELektor editor and engineer Clemens Valens recently interviewed Koen van Dongen about the design. Van Dongen describes the system’s electronics and then demonstrates how to use the touchscreen to control a light and LED strip.

As Valens explains suggests, it would be a worthwhile endeavor to incorporate a Wi-Fi connection to enable cellphone and tablet control. If you build such system, be sure to share it with our staff. Good luck!

CircuitCellar.com is an Elektor International Media website.

CC266: Microcontroller-Based Data Management

Regardless of your area of embedded design or programming expertise, you have one thing in common with every electronics designer, programmer, and engineering student across the globe: almost everything you do relates to data. Each workday, you busy yourself with acquiring data, transmitting it, repackaging it, compressing it, securing it, sharing it, storing it, analyzing it, converting it, deleting it, decoding it, quantifying it, graphing it, and more. I could go on, but I won’t. The idea is clear: manipulating and controlling data in its many forms is essential to everything you do.

The ubiquitous importance of data is what makes Circuit Cellar’s Data Acquisition issue one of the most popular each year. And since you’re always seeking innovative ways to obtain, secure, and transmit data, we consider it our duty to deliver you a wide variety of content on these topics. The September 2012 issue (Circuit Cellar 266) features both data acquisition system designs and tips relating to control and data management.

On page 18, Brian Beard explains how he planned and built a microcontroller-based environmental data logger. The system can sense and record relative light intensity, barometric pressure, relative humidity, and more.

a: This is the environmental data logger’s (EDL) circuit board. b: This is the back of the EDL.

Data acquisition has been an important theme for engineering instructor Miguel Sánchez, who since 2005 has published six articles in Circuit Cellar about projects such as a digital video recorder (Circuit Cellar 174), “teleporting” serial communications via the ’Net (Circuit Cellar 193), and a creative DIY image-processing system (Circuit Cellar 263). An informative interview with Miguel begins on page 28.

Turn to page 38 for an informative article about how to build a compact acceleration data acquisition system. Mark Csele covers everything you need to know from basic physics to system design to acceleration testing.

This is the complete portable accelerometer design. with the serial download adapter. The adapter is installed only when downloading data to a PC and mates with an eight pin connector on the PCB. The rear of the unit features three powerful
rare-earth magnets that enable it to be attached to a vehicle.

In “Hardware-Accelerated Encryption,” Patrick Schaumont describes a hardware accelerator for data encryption (p. 48). He details the advanced encryption standard (AES) and encourages you to consider working with an FPGA.

This is the embedded processor design flow with FPGA. a: A C program is compiled for a softcore CPU, which is configured in an FPGA. b: To accelerate this C program, it is partitioned into a part for the software CPU, and a part that will be implemented as a hardware accelerator. The softcore CPU is configured together with the hardware accelerator in the FPGA.

Are you now ready to start a new data acquisition project? If so, read George Novacek’s article “Project Configuration Control” (p. 58), George Martin’s article “Software & Design File Organization” (p. 62), and Jeff Bachiochi’s article “Flowcharting Made Simple” (p. 66) before hitting your workbench. You’ll find their tips on project organization, planning, and implementation useful and immediately applicable.

Lastly, on behalf of the entire Circuit Cellar/Elektor team, I congratulate the winners of the DesignSpark chipKIT Challenge. Turn to page 32 to learn about Dean Boman’s First Prize-winning energy-monitoring system, as well as the other exceptional projects that placed at the top. The complete projects (abstracts, photos, schematic, and code) for all the winning entries are posted on the DesignSpark chipKIT Challenge website.

Infrared Communications for Atmel Microcontrollers

Are you planning an IR communications project? Do you need to choose a microcontroller? Check out the information Cornell University Senior Lecturer Bruce Land sent us about inexpensive IR communication with Atmel ATmega microcontrollers. It’s another example of the sort of indispensable information covered in Cornell’s excellent ECE4760 course.

Land informed us:

I designed a basic packet communication scheme using cheap remote control IR receivers and LED transmitters. The scheme supports 4800 baud transmission,
with transmitter ID and checksum. Throughput is about twenty 20-character packets/sec. The range is at least 3 meters with 99.9% packet receive and moderate (<30 mA) IR LED drive current.

On the ECE4760 project page, Land writes:

I improved Remin’s protocol by setting up the link software so that timing constraints on the IR receiver AGC were guaranteed to be met. It turns out that there are several types of IR reciever, some of which are better at short data bursts, while others are better for sustained data. I chose a Vishay TSOP34156 for its good sustained data characteristics, minimal burst timing requirements, and reasonable data rate. The system I build works solidly at 4800 baud over IR with 5 characters of overhead/packet (start token, transmitter number, 2 char checksum , end token). It works with increasing packet loss up to 9000 baud.

Here is the receiver circuit.

The receiver circuit (Source: B. Land, Cornell University ECE4760 Infrared Communications
for Atmel Mega644/1284 Microcontrollers)

Land explains:

The RC circuit acts a low-pass filter on the power to surpress spike noise and improve receiver performance. The RC circuit should be close to the receiver. The range with a 100 ohm resistor is at least 3 meters with the transmitter roughly pointing at the receiver, and a packet loss of less then 0.1 percent. To manage burst length limitations there is a short pause between characters, and only 7-bit characters are sent, with two stop bits. The 7-bit limit means that you can send all of the printing characters on the US keyboard, but no extended ASCII. All data is therefore sent as printable strings, NOT as raw hexidecimal.

Land’s writeup also includes a list of programs and packet format information.

Implement a Tilt and Interference-Compensated Electronic Compass

Would you like to incorporate an electronic compass in a consumer product you’re designing or a personal device you’re constructing? If so, you’ll do well to understand as much as possible about the differences between various sensors and how certain forms of interference can affect their accuracies.

Mark Pedley of Freescale Semiconductor has an article in Circuit Cellar 265 (August 2012) on these topics. An abridged version of his article follows. Pedley writes:

 Whenever a new high-volume consumer electronics market develops, the semiconductor companies are never far behind, providing excellent components at surprisingly low prices. The market for sensors in consumer products is a recent example. It all started with an accelerometer used to select between portrait and landscape display orientations and then, with the addition of a magnetometer, evolved into the electronic compass (eCompass) used to align street maps to the smartphone’s geographic heading or to enable augmented reality overlays. As a result, high-volume pricing for smartphone accelerometer and magnetometer sensors is now less than $1 each.

A magnetometer sensor alone cannot provide an accurate compass heading for two reasons. First, the magnetic field measured at the magnetometer varies significantly with tilt angle. Second, the magnetometer requires calibrating not only for its own offset but also against spurious magnetic fields resulting from any nearby ferromagnetic components on the circuit board. This article describes how the accelerometer is used to compensate the magnetometer for tilt and includes a simple technique for calibrating the magnetometer.

SENSOR SELECTION

The accelerometer should be three axis and capable of operating in the ±2-g range with a minimum of 10 bits of resolution. The output of a 10-bit accelerometer operating in the ±2-g range will change by 512 counts as the accelerometer is rotated 180° from pointing downward to upward, giving an average sensitivity of one count per 0.35° change in tilt. This is more than adequate for tilt-compensation purposes.

It is important to check the accelerometer datasheet for the “0-g offset accuracy” which is the output when the accelerometer is in 0-g freefall. Since this value is a constant additive error on each accelerometer channel, it adds a bias in the calculated tilt angles, so look for accelerometers where this parameter does not exceed 50 mg.

The magnitude of the earth’s geomagnetic field is typically about 50 µT with a horizontal component that varies over the earth’s surface, from a maximum of about 40 µT down to 0 at the geomagnetic poles. If an eCompass is required to operate in horizontal geomagnetic fields down to 10 µT (in arctic Canada, for example) with a noise jitter of ±3°, then a back-of-the-envelope calculation indicates that a magnetometer with a maximum noise level of 0.5 µT is needed.

Most of my projects have used Freescale’s MMA8451Q Xtrinsic three-axis, 14-bit accelerometer and MAG3110 three-axis magnetometer. The MMA8451Q is supplied in a 3-mm × 3-mm × 1-mm, 16-pin QFN package and provides a 14-bit data output with ±30-mg, 0-g offset accuracy. The MAG3110 magnetometer is supplied in a 2-mm × 2-mm × 0.85 mm, 10-pin DFN package and provides a measurement range of ±1,000 µT with 0.1-µT resolution and a noise level down to 0.25 µT. Both parts operate with a supply voltage between 1.95 V and 3.6 V.

Similar sensors are supplied by Asahi Kasei (AKM), Kionix, STMicroelectronics, and other manufacturers. Your best strategy is to go to the manufacturers’ websites and make a list of those that provide samples in single units or low-volume packs of up to five devices. With a bit of luck, you may be able to get both the accelerometer and magnetometer sensors for free. Add a handful of decoupling capacitors and pull-up resistors and you should be well within the $5 component cost.

Each reader has a preferred microcontroller to read the raw data from the two sensors and implement the eCompass. This article assumes the microcontroller provides an I2C bus to interface to the sensors, supports floating-point operations whether natively or through software emulation libraries, and has a few spare bytes of program and data memory…

LAYOUT & BOARD BRING-UP

Once you’ve selected your sensors, the next step is to design the accelerometer and magnetometer daughterboard with I2C bus connection to the microcontroller. Reference schematics for the MMA8451Q and MAG3110 are provided in the sensor datasheets and reproduced in Figure 1.

Figure 1: Schematics for (a) MMA8451Q and (b) MAG3110 sensors (Source: M. Pedley, Circuit Cellar 265)

Don’t waste any time rotating the accelerometer or magnetometer packages to align their x-, y-, and z-sensing directions to each other since this will be  fixed later in software. But do ensure the sensor board will not be mounted in the immediate vicinity of any ferromagnetic materials since these will produce a constant additive magnetic field termed the “hard-iron field.” The most common ferromagnetic materials are iron, steel, ferrite, nickel, and cobalt. Non-ferromagnetic materials are all safe to use (e.g., aluminum, copper, brass, tin, silver, and gold).

The calibration process described later enables the estimation and software subtraction of any hard-iron field, but it’s good practice to minimize hard iron interference at the design stage. Remember, a current trace will create a cylindrical magnetic field that falls off relatively slowly with the inverse of distance, so place the magnetometer as far away from high current traces as possible. A 0.1-A current trace at 10-mm distance will produce a 2-µT magnetic field, four times our 0.5-µT error budget, only reducing to 0.5 µT at a 40-mm distance. More detailed layout guidance is provided in Freescale Semiconductor’s application note AN4247: “Layout Recommendations for PCBs Using a Magnetometer Sensor.”

You’ll be surprised at the number of features implemented in the latest consumer sensors (i.e., freefall detection, high- and low-pass filtering options, automatic portrait and landscape detection, etc.), but disable all these since you simply want the raw accelerometer and magnetometer data. Configure the accelerometer into a 2-g range and check that you can read the x, y, and z accelerometer and magnetometer data (in units of bit counts) from the sensors’ internal registers at a sampling rate of between 10 Hz and 50 Hz. Smartphones commonly use IDH3 to minimize power consumption while anything above 50 Hz is overkill. Check the accelerometer datasheet for the conversion factor between counts and g (4,096 counts per g for the MMA8451Q in ±2-g mode) and use this to scale the x, y, z accelerometer readings into units of g. Do the same for the x, y, z magnetometer data again taking the conversion factor from the magnetometer datasheet (10 counts per µT for the MAG3110).

COORDINATE SYSTEM

The equations and C software in Listing 1 use the “aerospace,” or “x-North y-East z-Down,” coordinate system depicted in Photo 1.

Listing 1: C source code for the tilt-compensated eCompass (Source: M. Pedley, Circuit Cellar 265)

This defines the initial eCompass orientation to be where the x-axis points north, the y-axis points east, and the z-axis points downwards. The three orientation angles, roll (ϕ), pitch (θ), and compass heading, or yaw (ψ)—are defined as clockwise rotations about the positive x, y, and z axes— respectively. Photo 1 also shows the earth’s gravitational vector which points downward with magnitude of 1 g or 9.81 ms-2 and the earth’s geomagnetic field vector, which points downward from horizontal (in the northern hemisphere) by the inclination angle δ to give a horizontal component B0cosδ and a downward component B0sinδ.

Photo 1: The aerospace noth-east-down coordinate system (Source: M. Pedley, Circuit Cellar 265)

Based on how your eCompass housing will be held, you should be able to assign the compass-pointing direction or x-axis, the downward or z-axis, and the y-axis, which should point to the right to complete a right-handed coordinate system.

AXIS ALIGNMENT & MAGNETIC CALIBRATION

You now need to align the sensor data to the aerospace coordinate system. As with all work with magnetometers, this should be performed on a wooden table well away from any laboratory power supplies or steel furniture. Place the eCompass flat and upright so the z-axis points downward and is aligned with gravity. Check that the accelerometer z-axis reads approximately 1 g and the x- and y-axes are near 0. Invert the eCompass so its z-axis points upward and check that the z-axis now reads approximately –1 g. Repeat with the x- and y-axes pointing downward and then upward and check that the x- and  y-axis accelerometer readings are near 1 g and –1 g, respectively. It’s not important if the accelerometer readings are a few tens of mg away from the required reading since all you’re doing here is correcting for gross rotations of the sensor packages and the sensor daughterboard in multiples of 90°. Any needed correction will be unique for your board layout and mounting orientation but will be no more complicated than “swap the x- and y-accelerometer channels and negate the z-channel reading.” Code this accelerometer axis mapping into your software and don’t touch it again.

Figure 2 may help explain this visually. The accelerometer sensor measures both gravity and linear acceleration and, in the absence of any linear acceleration (as is the case when sitting on a desk), the magnitude of the accelerometer reading will always equal 1 g, and therefore, lie on the surface of a 1-g sphere, irrespective of the orientation.

Figure 2: Accelerometer axis alignment points (Source: M. Pedley, Circuit Cellar 265)

The six measurements  lie on the vertices of an octahedron inscribed within the 1-g sphere and the axis mapping simply rotates and reflects the octahedron as needed until the accelerometer channels are correctly aligned.

The magnetometer axis alignment is similar to that of the accelerometer, but makes use of the geomagnetic field vector. Place the eCompass flat, upright, and pointing northward and then rotate in yaw angle by 270° to the east, south, and finally west. The x-channel magnetometer reading should be a maximum when the eCompass is pointed north and a minimum when pointed south. The y-channel magnetometer reading should be a minimum when the eCompass is pointed east and a maximum when pointed west. The z-channel reading should be approximately constant since the vertical component of the geomagnetic field is constant irrespective of rotation in yaw.

Then invert the eCompass on the desk and repeat the process. As before, the magnetometer x-axis reading should be a maximum when the eCompass is pointed north and a minimum when pointed south. But now, because of the inverted position, the magnetometer y-axis should be a maximum when the eCompass is pointed east and a minimum when pointed west. The magnetometer z-axis reading should still be constant but, in the northern hemisphere, lower than the previous upright readings since the magnetometer z-axis is now aligned against the downward component of the geomagnetic field vector.

Figure 3 shows upright and inverted magnetometer measurements taken in the northern hemisphere with a 270o compass rotation.

Figure 3: The upright (a) and inverted (b) magnetometer measurements (Source: M. Pedley, Circuit Cellar 265)

The maximum and minimum of the x- and y-axis magnetometer measurements occur at the expected angles and the z-axis measurement is less when inverted than when upright. These magnetometer axes are therefore correctly aligned but, as with the accelerometer correction, swap and negate the measurements from your three magnetometer channels as needed until correctly aligned and then lock down this part of your code.

A lot can be learned by closely looking at the measurements in Figure 3. The x- and y-magnetometer measurements lie on a circle with radius of approximately 25 µT enabling us to deduce that the horizontal geomagnetic field is approximately 25 µT. But the measurements are offset from zero by the magnetic “hard iron” interfering field, which results from both permanently magnetized ferromagnetic materials on the circuit board and from a zero-field offset in the magnetometer sensor itself. Consumer sensor manufacturers long ago realized it was pointless to accurately calibrate their magnetometers when their target market is smartphones, each with a different hard-iron interfering field. The magnetometer sensor offset is, therefore, calibrated together with the circuit board hard-iron magnetic field. For now, simply note that the x and y components of the hard iron offset have values of approximately 215 µT and 185 µT. A simple method to determine all three hard-iron components is described later.

Refer to the complete article for information about calculating the roll and pitch angles and determining the compass heading angle.

Mark Pedley has a Physics degree from Oxford University and now works on sensor fusion algorithms for Freescale Semiconductor in Tempe, Arizona.

DIY Internet-Enabled Home Control System

Why shell out hundreds or thousands of dollars on various home control systems (HCS) when you have the skills and resources to build your own? You can design and implement sophisticated Internet-enabled systems with free tools and some careful planning.

John Breitenbach did just that. He used a microcontroller, free software, and a cloud-based data platform to construct a remote monitoring system for his home’s water heater. The innovative design can email or text status messages and emergency alerts to a smartphone. You can build a similar system to monitor any number of appliances, rooms, or buildings.

An abridged version of Breitenbach’s article, “Internet-Enabled Home Control” (Circuit Cellar 264, July 2012), appears below. (A link to the entire article and an access password are noted at the end of this post.) Breitenbach writes:

Moving from the Northeast to North Carolina, my wife and I were surprised to find that most homes don’t have basements. In the north, the frost line is 36˝–48 ˝ below the surface. To prevent frost heave, foundations must be dug at least that deep. So, digging down an extra few feet to create a basement makes sense. Because the frost line is only 15 ˝ in the Raleigh area, builders rarely excavate the additional 8’ to create basements.

The lack of basements means builders must find unique locations for a home’s mechanical systems including the furnace, AC unit, and water heater. I was shocked to find that my home’s water heater is located in the attic, right above one of the bedrooms (see Photo 1).

Photo 1: My home’s water heater is located in our attic. (Photo courtesy of Michael Thomas)

During my high school summers I worked for my uncle’s plumbing business (“Breitenbach Plumbing—We’re the Best, Don’t Call the Rest”) and saw firsthand the damage water can do to a home. Water heaters can cause some dramatic end-of-life plumbing failures, dumping 40 or more gallons of water at once followed by the steady flow of the supply line.

Having cleaned up the mess of a failed water heater in my own basement up north, I haven’t had a good night’s sleep since I discovered the water heater in my North Carolina attic. For peace of mind, especially when traveling, I instrumented my attic so I could be notified immediately if water started to leak. My goal was to use a microcontroller so I could receive push notifications via e-mails or text messages. In addition to emergency messages, status messages sent on a regular basis reassure me the system is running. I also wanted to use a web browser to check the current status at any time.

MCU & SENSOR

The attic monitor is based on Renesas Electronics’s YRDKRX62N demonstration kit, which features the RX62N 32-bit microcontroller (see Photo 2). Renesas has given away thousands of these boards to promote the RX, and the boards are also widely available through distributors. The YRDK board has a rich feature set including a graphics display, push buttons, and an SD-card slot, plus Ethernet, USB, and serial ports. An Analog Devices ADT7420 digital I2C temperature sensor also enables you to keep an eye on the attic temperature. I plan to use this for a future addition to the project that compares this temperature to the outside air temperature to control an attic fan.

Photo 2: The completed board, which is based on a Renesas Electronics YRDKRX62N demonstration kit. (Photo courtesy of Michael Thomas)

SENSING WATER

Commercial water-detection sensors are typically made from two exposed conductive surfaces in close proximity to each other on a nonconductive surface. Think of a single-sided PCB with no solder mask and tinned traces (see Photo 3).

Photo 3: A leak sensor (Photo courtesy of Michael Thomas)

These sensors rely on the water conductivity to close the circuit between the two conductors. I chose a sensor based on this type of design for its low cost. But, once I received the sensors, I realized I could have saved myself a few bucks by making my own sensor from a couple of wires or a piece of proto-board.

When standing water on the sensor shorts the two contacts, the resistance across the sensor drops to between 400 kΩ and 600 kΩ. The sensor is used as the bottom resistor in a voltage divider with a 1-MΩ resistor up top. The output of the divider is routed to the 12-bit analog inputs on the RX62N microcontroller. Figure 1 shows the sensor interface circuit. When the voltage read by the analog-to-digital converter (ADC) drops below 2 V, it’s time to start bailing. Two sensors are connected: one in the catch pan under the water heater, and a second one just outside the catch pan to detect failures in the small expansion tank.

Figure 1: The sensor interface to the YRDK RX62N board

COMMUNICATIONS CHOICES

One of my project goals was to push notifications to my cell phone because Murphy’s Law says water heaters are likely to fail while you’re away for the weekend. Because I wanted to keep the project costs low, I used my home’s broadband connection as the gateway for the attic monitor. The Renesas RX62N microcontroller includes a 100-Mbps Ethernet controller, so I simply plugged in the cable to connect the board to my home network. The open-source µIP stack supplied by Renesas with the YRDK provides the protocol engine needed to talk to the Internet.

There were a couple of complications with using my home network as the attic monitor’s gateway to the world. It is behind a firewall built into my router and, for security reasons, I don’t want to open up ports to the outside world.

My Internet service provider (ISP) occasionally changes the Internet protocol (IP) address associated with my cable modem. So I would never know what address to point my web browser. I needed a solution that would address both of these problems. Enter Exosite, a company that provides solutions for cloud-based, machine-to-machine (M2M) communications.

TALKING TO THE CLOUD

Exosite provides a number of software components and services that enable M2M communications via the cloud. This is a different philosophy from supervisory control and data acquisition (SCADA) systems I’ve used in the past. The control systems I’ve worked on over the years typically involve a local host polling the hundreds or thousands of connected sensors and actuators that make up a commercial SCADA system. These systems are generally designed to be monitored locally at a single location. In the case of the attic monitor, my goal was to access a limited number of data points from anywhere, and have the system notify me rather than having to continuously poll. Ideally, I’d only hear from the device when there was a problem.

Exosite is the perfect solution: the company publishes a set of simple application programming interfaces (APIs) using standard web protocols that enable smart devices to push data to their servers in the cloud in real time. Once the data is in the cloud, events, alerts, and scripts can be created to do different things with the data—in my case, to send me an e-mail and SMS text alert if there is anything wrong with my water heater. Connected devices can share data with each other or pull data from public data sources, such as public weather stations. Exosite has an industrial-strength platform for large-scale commercial applications. It provides free access to it for the open-source community. I can create a free account that enables me to connect one or two devices to the Exosite platform.

Embedded devices using Exosite are responsible for pushing data to the server and pulling data from it. Devices use simple HTTP requests to accomplish this. This works great in my home setup because the attic monitor can work through my firewall, even when my Internet provider occasionally changes the IP address of my cable modem. Figure 2 shows the network diagram.

Figure 2: The cloud-based network

VIRTUAL USER INTERFACE

Web-based dashboards hosted on Exosite’s servers can be built and configured to show real-time and historical data from connected devices. Controls, such as switches, can be added to the dashboards to push data back down to the device, enabling remote control of embedded devices. Because the user interface is “in the cloud,” there is no need to store all the user interface (UI) widgets and data in the embedded device, which greatly reduces the storage requirements. Photo 4 shows the dashboard for the attic monitor.

Photo 4: Exosite dashboard for the attic monitor

Events and alerts can be added to the dashboard. These are logical evaluations Exosite’s server performs on the incoming data. Events can be triggered based on simple comparisons (e.g., a data value is too high or too low) or complex combinations of a comparison plus a duration (e.g., a data value remains too high for a period of time). Setting up a leak event for one of the sensors is shown in Photo 5.

Photo 5: Creating an event in Exosite

In this case, the event is triggered when the reported ADC voltage is less than 2 V. An event can also be triggered if Exosite doesn’t receive an update from the device for a set period of time. This last feature can be used as a watchdog to ensure the device is still working.

When an event is triggered, an alert can optionally be sent via e-mail. This is the final link that enables an embedded device in my attic to contact me anywhere, anytime, to alert me to a problem. Though I have a smartphone that enables me to access my e-mail account, I can also route the alarm message to my wife’s simpler phone through her cellular provider’s e-mail-to-text-message gateway. Most cellular providers offer this service, which works by sending an e-mail to a special address containing the cell phone number. On the Verizon network, the e-mail address is <yourcellularnumber>@vtext.com. Other providers have similar gateways.

The attic monitor periodically sends heartbeat messages to Exosite to let me know it’s still working. It also sends the status of the water sensors and the current temperature in the attic. I can log in to Exosite at any time to see my attic’s real-time status. I have also configured events and alarms that will notify me if a leak is detected or if the temperature gets too hot…

The complete article includes details such about the Internet engine, reading the cloud, tips for updating the design, and more.  You can read the entire article by typing netenabledcontrol to open the password-protected PDF.

Build a Microcontroller-Based Mail Client

Does the sheer amount of junk mail that fills your Inbox make you hate everything about e-mail? If so, it’s time to have a little fun with electronic mail by building a compact microcontroller-based mail client system. Alexander Mann designed a system that uses an Atmel ATmega32 and a Microchip Technology ENC28J60 Ethernet controller to check continuously for e-mail. When a message arrives, he can immediately read it on the system’s LCD and respond with a standard keyboard.

Mann writes:

My MiniEmail system is a compact microcontroller-based mail client (see Photo 1). The silent, easy-to-use system doesn’t require a lot of power and it is immune to mail worms. Another advantage is the system’s short start-up time. If you want to write a quick e-mail but your PC is off, you can simply switch on the miniature e-mail client and start writing without having to wait for your PC to boot up and load the necessary applications. All you need is an Ethernet connection and the MiniEmail system.

Photo 1: The complete MiniEmail system includes an LCD, a keyboard, and several connections. (A. Mann, Circuit Cellar 204)

HARDWARE

The hardware for the MiniEmail system is inexpensive. It cost me about $50. The LCD is the most expensive part. To keep things simple, I left the system’s power supply, 5- to 3.3-V conversion crystals, and latch out of Figure 1.

Figure 1: This is a block diagram of MiniEmail’s hardware. The arrows indicate the directions of data flow between the devices. The rounded boxes indicate parts that do not sit on the circuit board.

The main components are an Atmel ATmega32 microcontroller and a Microchip Technology ENC28J60 Ethernet controller. Because a mail client is a piece of complex software, you need a fast microcontroller that has a considerable amount of program space. The MiniEmail system uses almost all of the ATmega32’s features, including the SPI, internal EEPROM and SRAM, counters, USART interface, sleep modes, all 32 I/O lines, and most of the 32 KB of program memory. The ENC28J60 is a stand-alone Ethernet controller that provides basic functionality for transmitting frames over an Ethernet connection. It has 8 KB of built-in SRAM, which can be divided into transmit and receive buffers as desired, and it provides several interrupt sources (e.g., when new packets have arrived). The ATmega32 also has 128 KB of external SRAM connected as well as an LCD, which is a standard module with a resolution of 128 × 64 pixels.

Take a look at the ATmega32’s pin connections in Figure 2. Ports A and C are used as 8-bit-wide general I/O ports, one of which is latched using an NXP Semiconductors 74HC573.

Figure 2: Here’s the complete schematic for the MiniEmail. The LF1S022 is the RJ-45 connector for the Ethernet connection.

The two ports provide data connections to the LCD and SRAM (U3). For the SRAM, you need three additional wires: write (*RAM_WR), read strobe (*RAM_RD), and the seventeenth bit of the address (ADDR16). The LCD connector (CON1) uses five additional wires (for the signals CS1, CS2, DI, EN, and RW). CS1 and CS2 are taken from the general I/O port A (DATA6 and DATA7) and determine which of the two halves of the LCD is selected (i.e., the two controllers on the LCD module you are talking to). RW (where you can use ADDR16 again) sets the direction of the LCD access (read or write). DI describes the type of instruction sent to the LCD. EN is the enable signal for read and write cycles. For the keyboard, you need only two pins: KEY_DATA and KEY_CLOCK. The clock signal must be connected to an external interrupt pin, INT1. One additional wire is needed to switch the latch (LE).

You are left with eight I/O pins on the ATmega32’s ports B and D. RXD and TXD are connected to a MAX232, an RS-232 level converter that also provides the negative supply voltage needed for the LCD (LCD_VOUT in Figure 2). The ATmega32’s USART functionality is used as a debugging interface. It isn’t needed for normal operation.

SOFTWARE

The firmware for this project is posted on the Circuit Cellar FTP site. I wrote the firmware in C language with a few small parts of inline assembler. I used the open-source software suite WinAVR, which includes the GNU GCC compiler with special libraries for AVR devices and avrdude, a tool for the in-system programming of AVR microcontrollers…

USER INTERFACE

The user interface consists of three control elements: menus, edit fields, and an elaborate text editor. A special screen (the Mail Menu) enables you to quickly browse through your mailbox. After power-up, the system displays a greeting message. After a short while, the Main menu appears (see Photo 2).

Photo 2: This is a screenshot of MiniEmail’s main menu. In the upper-right corner, a clock shows the current time, which is retrieved from the Internet. An arrow to the left of the menu items indicates the selected item. (A. Mann, Circuit Cellar 204)

The Compose Mail, Check Mailbox, and Configuration submenus form a hierarchical menu structure. When the other items listed beneath the respective menu titles in the diagram are activated (e.g., start the text editor), they enable you to input data, such as a username and password, or retrieve mail from the mail server. “Standby” is the only action that is accessible directly from the main menu. All other actions are grouped by function in the submenus.

WRITING MAIL

With respect to the firmware, sending mail is much easier than reading it, so let’s first focus on the Compose Mail menu. The first item in the menu starts the text editor so you can enter the body of your letter. You then enter the recipient’s mailing address and the subject of your e-mail, just like you would do when sending e-mail from your PC. Additional fields, such as CC or BCC are not included, but since this requires only one more line in the header of the mail, it is not difficult. Your e-mail also needs a reply address, so the recipient knows who sent the mail. The reply address is normally the same for all of the messages you write. The text you enter in this edit field is stored in the ATmega32’s EEPROM, so you don’t have to type it every time you write a letter. After you select the last menu item, “Send” initiates the dispatch of the mail and displays a message that indicates whether or not it was successful.

CHECKING FOR MAIL

What makes this part more sophisticated is the ability to handle not only one e-mail at a time, but also fetch mail from the server. The system can determine which messages are new and which messages have been read. It can also extract data such as the sender, subject, or sent date from the header of the mail and then display the information.

The amount of mail the firmware can handle is limited by the size of the external SRAM. The maximum number of e-mails is currently 1,024. (If you’ve got more mail, you will be so busy answering it that you won’t have time to build your own MiniEmail client—or you should delete some old mail). Note that 1,024 is the number of unique identifiers that the system can remember. The server assigns a unique identifier to each piece of mail. The system uses the identifiers to keep track of which letters are new on the server, which have already been read, and which have been marked for deletion.

All of the header data for all of the 1,024 messages cannot be held in SRAM at once; only the most recent (about 50) mail headers are held. When you want to browse through older e-mails, the firmware automatically reconnects to the server and fetches the headers of the next 50 e-mails.

When you select Check Mailbox in the main menu, you get to a submenu where you can retrieve and read mail. Before you can collect your mail, you must enter your username and password, which can be stored in EEPROM for your convenience. The firmware then retrieves the headers and displays the Mail Menu, where you can browse through your e-mail. Apart from the size and the date, the first 42 characters of the subject and the mail sender are shown. In the first row, additional icons indicate (from left to right) whether a message is new, has been marked for deletion, or has been read. You can view the content of the selected message by pressing Return. When the mail is fetched from the server, it is prepared for viewing. The header and HTML tags, as well as long runs of the same character, are stripped from the mail and base64 decoding (used to encode 8-bit characters) is performed, so the content of the message is as readable as plain text. Binary attachments (e.g., images) can’t be handled. Following this, the mail is viewed in the text editor (with editing disabled).

A similar action is performed when you press “r” in the Mail Menu. In that case, you can edit the text so you can add your reply. Leaving the text editor will bring you back to the Send Mail menu, where the reply address and subject will be filled in so your mail will be clear for take-off. To delete a message, simply press D to mark it for deletion….

OUTLOOK

I hadn’t imagined how many details would need to be considered when I started this project more than a year ago. It has been a very interesting and challenging project. It has also been a lot of fun.

The MiniEmail system provides all of the basics for communicating via email, but such a project is never really finished. There are still dozens of items on my to-do list. Fortunately, the ATmega32 can be replaced with a new member of the AVR family, the Atmel ATmega644, which is pin-compatible to the ATmega32 and has twice the flash memory (and internal SRAM). That will provide enough space for many of my new ideas. I want to get rid of the static IP address, add CC and BCC fields, use a bigger display or a smaller (variable-width) font, improve the filtering and display of mail content and attachments, and add an address book (it would be best in combination with an additional external EEPROM with an SPI, such as the AT25256).

This project proves, rather impressively, that the ATmega32 and the ENC28J60 are a powerful combination. They can be used for many useful Internet applications. My e-mail client system is surely one of the most exciting. I can think of many other interesting possibilities. At the moment, my MiniEmail assembly serves as an online thermometer so I can check my room’s temperature from anywhere in the world…

Mann’s entire article appears in Circuit Cellar 204, 2007. Type “miniemailopen”  to access the password-protected article.

DIY Solar-Powered, Gas-Detecting Mobile Robot

German engineer Jens Altenburg’s solar-powered hidden observing vehicle system (SOPHECLES) is an innovative gas-detecting mobile robot. When the Texas Instruments MSP430-based mobile robot detects noxious gas, it transmits a notification alert to a PC, Altenburg explains in his article, “SOPHOCLES: A Solar-Powered MSP430 Robot.”  The MCU controls an on-board CMOS camera and can wirelessly transmit images to the “Robot Control Center” user interface.

Take a look at the complete SOPHOCLES design. The CMOS camera is located on top of the robot. Radio modem is hidden behind the camera so only the antenna is visible. A flexible cable connects the camera with the MSP430 microcontroller.

Altenburg writes:

The MSP430 microcontroller controls SOPHOCLES. Why did I need an MSP430? There are lots of other micros, some of which have more power than the MSP430, but the word “power” shows you the right way. SOPHOCLES is the first robot (with the exception of space robots like Sojourner and Lunakhod) that I know of that’s powered by a single lithium battery and a solar cell for long missions.

The SOPHOCLES includes a transceiver, sensors, power supply, motor
drivers, and an MSP430. Some block functions (i.e., the motor driver or radio modems) are represented by software modules.

How is this possible? The magic mantra is, “Save power, save power, save power.” In this case, the most important feature of the MSP430 is its low power consumption. It needs less than 1 mA in Operating mode and even less in Sleep mode because the main function of the robot is sleeping (my main function, too). From time to time the robot wakes up, checks the sensor, takes pictures of its surroundings, and then falls back to sleep. Nice job, not only for robots, I think.

The power for the active time comes from the solar cell. High-efficiency cells provide electric energy for a minimum of approximately two minutes of active time per hour. Good lighting conditions (e.g., direct sunlight or a light beam from a lamp) activate the robot permanently. The robot needs only about 25 mA for actions such as driving its wheel, communicating via radio, or takes pictures with its built in camera. Isn’t that impossible? No! …

The robot has two power sources. One source is a 3-V lithium battery with a 600-mAh capacity. The battery supplies the CPU in Sleep mode, during which all other loads are turned off. The other source of power comes from a solar cell. The solar cell charges a special 2.2-F capacitor. A step-up converter changes the unregulated input voltage into 5-V main power. The LTC3401 changes the voltage with an efficiency of about 96% …

Because of the changing light conditions, a step-up voltage converter is needed for generating stabilized VCC voltage. The LTC3401 is a high-efficiency converter that starts up from an input voltage as low as 1 V.

If the input voltage increases to about 3.5 V (at the capacitor), the robot will wake up, changing into Standby mode. Now the robot can work.

The approximate lifetime with a full-charged capacitor depends on its tasks. With maximum activity, the charging is used after one or two minutes and then the robot goes into Sleep mode. Under poor conditions (e.g., low light for a long time), the robot has an Emergency mode, during which the robot charges the capacitor from its lithium cell. Therefore, the robot has a chance to leave the bad area or contact the PC…

The control software runs on a normal PC, and all you need is a small radio box to get the signals from the robot.

The Robot Control Center serves as an interface to control the robot. Its main feature is to display the transmitted pictures and measurement values of the sensors.

Various buttons and throttles give you full control of the robot when power is available or sunlight hits the solar cells. In addition, it’s easy to make short slide shows from the pictures captured by the robot. Each session can be saved on a disk and played in the Robot Control Center…

The entire article appears in Circuit Cellar 147 2002. Type “solarrobot”  to access the password-protected article.

Q&A: Guido Ottaviani (Roboticist, Author)

Guido Ottaviani designs and creates innovative microcontroller-based robot systems in the city from which remarkable innovations in science and art have originated for centuries.

Guido Ottaviani

By day, the Rome-based designer is a technical manager for a large Italian editorial group. In his spare time he designs robots and interacts with various other “electronics addicts.” In an a candid interview published in Circuit Cellar 265 (August 2012), Guido described his fascination with robotics, his preferred microcontrollers, and some of his favorite design projects. Below is an abridged version of the interview.

NAN PRICE: What was the first MCU you worked with? Where were you at the time? Tell us about the project and what you learned.

GUIDO OTTAVIANI: The very first one was not technically an MCU, that was too early. It was in the mid 1980s. I worked on an 8085 CPU-based board with a lot of peripherals, clocked at 470 kHz (less than half a megahertz!) used for a radio set control panel. I was an analog circuits designer in a big electronics company, and I had started studying digital electronics on my own on a Bugbook series of self-instruction books, which were very expensive at that time. When the company needed an assembly programmer to work on this board, I said, “Don’t worry, I know the 8085 CPU very well.” Of course this was not true, but they never complained, because that job was done well and within the scheduled time.

I learned a lot about how to optimize CPU cycles on a slow processor. The program had very little time to switch off the receiver to avoid destroying it before the powerful transmitter started.

Flow charts on paper, a Motorola developing system with the program saved on an 8” floppy disk, a very primitive character-based editor, the program burned on an external EPROM and erased with a UV lamp. That was the environment! When, 20 years later, I started again with embedded programming for my hobby, using Microchip Technology’s MPLAB IDE (maybe still version 6.xx) and a Microchip Technology PIC16F84, it looked like paradise to me, even if I had to relearn almost everything.

But, what I’ve learned about code optimization—both for speed and size—is still useful even when I program the many resources on the dsPIC33F series…

NAN: You worked in the field of analog and digital development for several years. Tell us a bit about your background and experiences.

GUIDO: Let me talk about my first day of work, exactly 31 years ago.

Being a radio amateur and electronics fan, I went often to the surplus stores to find some useful components and devices, or just to touch the wonderful receivers or instruments: Bird wattmeters, Collins or Racal receivers, BC 312, BC 603 or BC 1000 military receivers and everything else on the shelves.

The first day of work in the laboratory they told to me, “Start learning that instrument.” It was a Hewlett-Packard spectrum analyzer (maybe an HP85-something) that cost more than 10 times my annual gross salary at that time. I still remember the excitement of being able to touch it, for that day and the following days. Working in a company full of these kinds of instruments (the building even had a repair and calibration laboratory with HP employees), with more than a thousand engineers who knew everything from DC to microwaves to learn from, was like living in Eden. The salary was a secondary issue (at that time).

I worked on audio and RF circuits in the HF to UHF bands: active antennas, radiogoniometers, first tests on frequency hopping and spread spectrum, and a first sample of a Motorola 68000-based GPS as big as a microwave oven.

Each instrument had an HPIB (or GPIB or IEEE488) interface to the computer. So I started approaching this new (for me) world of programming an HP9845 computer (with a cost equivalent to 5 years of my salary then) to build up automatic test sets for the circuits I developed. I was very satisfied when I was able to obtain a 10-Hz frequency hopping by a Takeda-Riken frequency synthesizer. It was not easy with such a slow computer, BASIC language, and a bus with long latencies. I had to buffer each string of commands in an array and use some special pre-caching features of the HPIB interface I found in the manual.

Every circuit, even if it was analog, was interfaced with digital ports. The boards were full of SN74xx (or SN54xx) ICs, just to make some simple functions as switching, multiplexing, or similar. Here again, my lack of knowledge was filled with the “long history experience” on Bugbook series.

Well, audio, RF, programming, communications, interfacing, digital circuits. What was I still missing to have a good background for the next-coming hobby of robotics? Ah! Embedded programming. But I’ve already mentioned this experience.

After all these design jobs, because my knowledge started spreading on many different projects, it was natural to start working as a system engineer, taking care of all the aspects of a complex system, including project management.

NAN: You have a long-time interest in robotics and autonomous robot design. When did you first become interested in robots and why?

GUIDO: I’ve loved the very simple robots in the toy store windows since I was young, the same I have on my website (Pino and Nino). But they were too simple. Just making something a little bit more sophisticated required too much electronics at that time.

After a big gap in my electronics activity, I discovered a newly published robotic magazine, with an electronic parts supplement. This enabled me to build a programmable robot based on a Microchip PIC16F84. A new adventure started. I felt much younger. Suddenly, all the electronics-specialized neurons inside my brain, after being asleep for many years, woke up and started running again. Thanks to the Internet (not yet available when I left professional electronics design), I discovered a lot of new things: MCUs, free IDEs running even on a simple computer, free compilers, very cheap programming devices, and lots of documentation freely available. I threw away the last Texas Instruments databook I still had on my bookshelf and started studying again. There were a lot of new things to know, but, with a good background, it was a pleasant (if frantic) study. I’ve also bought some books, but they became old before I finished reading them.

Within a few months, jumping among all the hardware and software versions Microchip released at an astonishing rate, I found Johann Borenstein et al’s book Where Am I?: Systems and Methods for Mobile Robot Positioning (University of Michigan, 1996). This report and Borenstein’s website taught me a lot about autonomous navigation techniques. David P. Anderson’s “My Robots” webpage (www.geology.smu.edu/~dpa-www/myrobots.html) inspired all my robots, completed or forthcoming.

I’ve never wanted to make a remote-controlled car, so my robots must navigate autonomously in an unknown environment, reacting to the external stimuli. …

NAN: Robotics is a focal theme in many of the articles you have contributed to Circuit Cellar. One of your article series, “Robot Navigation and Control” (224–225, 2009), was about a navigation control subsystem you built for an autonomous differential steering explorer robot. The first part focused on the robotic platform that drives motors and controls an H-bridge. You then described the software development phase of the project. Is the project still in use? Have you made any updates to it?

The “dsNavCon” system features a Microchip Technology dsPIC30F4012 motor controller and a general-purpose dsPIC30F3013. (Source: G. Ottaviani, CC224)

GUIDO: After I wrote that article series, that project evolved until the beginning of this year. There is a new switched power supply, a new audio sensor, the latest version of dsNav dsPIC33-based board became commercially available online, some mechanical changing, improvements on telemetry console, a lot of modifications in the firmware, and the UMBmark calibration performed successfully.

The goal is reached. That robot was a lab to experiment sensors, solutions, and technologies. Now I’m ready for a further step: outdoors.

NAN: You wrote another robotics-related article in 2010 titled, “A Sensor System for Robotics Applications” (Circuit Cellar 236). Here you describe adding senses—sight, hearing, and touch—to a robotics design. Tell us about the design, which is built around an Arduino Diecimila board. How does the board factor into the design?

An Arduino-based robot platform (Source: G. Ottavini, CC236)

GUIDO: That was the first time I used an Arduino. I’ve always used PICs, and I wanted to test this well-known board. In that case, I needed to interface many I2C, analog sensors, and an I2C I/O expander. I didn’t want to waste time configuring peripherals. All the sensors had 5-V I/O. The computing time constraints were not so strict. Arduino fits perfectly into all of these prerequisites. The learning curve was very fast. There was already a library of every device I’ve used. There was no need for a voltage level translation between 3.3 and 5 V. Everything was easy, fast, and cheap. Why not use it for these kinds of projects?

NAN: You designed an audio sensor for a Rino robotic platform (“Sound Tone Detection with a PSoC Part 1 and Part 2,” Circuit Cellar 256–257, 2011). Why did you design the system? Did you design it for use at work or home? Give us some examples of how you’ve used the sensor.

GUIDO: I already had a sound board based on classic op-amp ICs. I discovered the PSoC devices in a robotic meeting. At that moment, there was a special offer for the PSoC1 programmer and, incidentally, it was close to my birthday. What a perfect gift from my relatives!

This was another excuse to study a completely different programmable device and add something new to my background. The learning curve was not as easy as the Arduino one. It is really different because… it does a very different job. The new PSoC-based audio board was smaller, simpler, and with many more features than the previous one. The original project was designed to detect a fixed 4-kHz tone, but now it is easy to change the central frequency, the band, and the behavior of the board. This confirms once more, if needed, that nowadays, this kind of professional design is also available to hobbyists. …

NAN: What do you consider to be the “next big thing” in the embedded design industry? Is there a particular technology that you’ve used or seen that will change the way engineers design in the coming months and years?

GUIDO: As often happens, the “big thing” is one of the smallest ones. Many manufacturers are working on micro-nano-pico watt devices. I’ve done a little but not very extreme experimenting with my Pendulum project. Using the sleeping features of a simple PIC10F22P with some care, I’ve maintained the pendulum’s oscillation bob for a year with a couple of AAA batteries and it is still oscillating behind me right now.

Because of this kind of MCU, we can start seriously thinking about energy harvesting. We can get energy from light, heat, any kind of RF, movement or whatever, to have a self-powered, autonomous device. Thanks to smartphones, PDAs, tablets, and other portable devices, the MEMS sensors have become smaller and less expensive.

In my opinion, all this technology—together with supercapacitors, solid-state batteries or similar—will spread many small devices everywhere to monitor everything.

The entire interview is published in Circuit Cellar 265 (August 2012).