Many people ask me what about the other 2 axis, here is the code that outputs 3 axis, including the SerialChart configuration script. SerialChart was developed using Qt SDK from Nokia: You will need a SVN client to checkout the code (I use RapidSVN for Windows). You can also download and compile SerialChart from Google Code: On my computer Arduino was detected on COM3, on yours it might be different.įor more information on configuration file syntax see: In this configuration file make sure to update the 'port' settings to Arduino's COM port.
Once you start SerialChart application you will need to load the imu_arduino.scc configuration file for this project(included in the imu_arduino.zip) archive. SerialChart executables can be downloaded from here:
For example you may take the C code and port it to PIC's C18/C30 or AVR-GCC (it shouldn't be too dificult).īelow are some useful resources and their descriptions. If you'd like to experiment on your own, I recommended first reproducing this testing setup, then shift slowly towards your application needs. However the Acc_Gyro board proved to be very stable in this respect, since it has built-in high pass filters. One feature that I would like to add is compensation for the drift effect that you might encounter with some gyroscopes. Given the simplicity of the code and of the algorithm I am satisfied with the results. Gyroscope data is important, because if you would simply average the Accelerometer data you would get a delayed signal. The filtered signal was obtained by combining the Accelerometer and Gyroscope data. – next I continued tilting the board, but I also started applying some vibration – by tapping the board quickly with my finger (marked "Titlting with vibration noise")Īs you can see from the chart the filtered signal (red line) is indeed more immune to noise than the accelerometer readings alone (blue line).
– first I was tilting the board slowly (marked "smooth tilting" on the screenshot) Here is the output from SerialChart software: It is open-source so feel free to customize it for your own needs. To analyze the data I have developed a small utility called SerialChart. Run the project and make sure you are receiving an output on your serial terminal (you can start the terminal from your Arduino IDE). Once you have completed the hardware part, load the following sketch to your Arduino. – Arduino Duemilanove (or similar Arduino platform) The Acc_Gyro is mounted on a regular proto-shield on top of an Arduino Duemilanove board. The theory behind this algorithm was first introduced in my Imu Guide article. The Arduino code is tested using a 5DOF IMU unit from GadgetGangster – Acc_Gyro. This article introduces an implementation of a simplified filtering algorithm that was inspired by Kalman filter.
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