Tag Archives: 9 axis

9-Axis IMU LESSON 22: How to Create a Tilt Stabilized Platform with Arduino

In this Lesson we begin to work on developing a tilt stabilized platform using the BNO055 9-axis sensor, and we will take advantage of all the learning that happened in the first 22 lessons. Now though, we will be moving out of the virtual world of Vpython, and will begin working in the real world. In this lesson we focus on getting the gear together. You can go ahead and order your gear, and then next week we will begin assembling and coding. In addition to the arduino nano, and the BNO055, you will need:

You Will Need Two of These HiTEC Servos

NOTE: I am no longer recommending the MG995 four pack of servos, as I have recently gotten several bad batches, so have moved to the HiTEC linked above.

A set of Pan Tilt Brackets:

 PC Board Power Supply (If you have the ELEGOO Kit, you already have this)

Good Wall Wart Power Plug for the Power Supply (if you dont have one)

Bundle of Extra Cables

OK, get your gear ordered and we will start putting things together next week.

9-Axis IMU LESSON 19: Vpython Visualization of Pitch and Yaw

To play along at home, you will need an Arduino Nano, and an Adafruit BNO055 Inertial Measurement Sensor. In this lesson we create a live visual where a 3D model rotates in space mimicking the pitch and yaw of the breadboard in the real world. We have not yet derived and implemented the math to incorporate roll into the simulation but that will ab done in the next lesson.

This is the code on the arduino side we developed in the video:

This is the code on the Python side we developed in the video:

 

9-Axis IMU LESSON 9: Accurate and Stable Tilt Using Accelerometers, Gyros and a Complimentary Filter

In this lesson we show how a complimentary filter can be used to create the best of both worlds in approximating tilt from data coming from the accelerometers and gyros. The goal of our complimentary filter is to weight our overall result to take advantage the short term accuracy of the gyro measurement, and combine it with the long term stability of the accelerometer. In effect the combination is applying a high pass filter to the gyro and a low pass filter to the accelerometer. Remember that the angles are approximate, and were developed assuming roll and pitch stay under 45 degrees. The trigonometry becomes more difficult when considering higher tilt angles.

To play along at home, you will need an Arduino Nano, and an Adafruit BNO055 Inertial Measurement Sensor.

The code below is for demo purposes only, and should not be used in any real applications. It just demonstrates how a complimentary filter works. Of course, any real systems need to go into much more depth than the simple demo project below.