The data from the IMU sensor is corrected and filtered using complementary filter. Attitude stabilization is achieved through implementing PID control to each axis which involves single axis ...

He implemented a PD-controller (PID without the integral) on an Arduino, which receives the roll angle (proportional) from the accelerometer on an MPU6050 MEMS sensor and the roll rate (Derivative ...

He’s using a SparkFun IMU with an Arduino and a motor ... which he says works much better, and adds control via a wireless Wii Nunchuck. The PID loop which gives it that remarkably solid upright ...

The IMU is used for calibration-free correction of magnetic distortion. At E3, Road to VR went hand’s on with the latest STEM prototype and came away very impressed with the system’s performance.