Project for Master in Electromechanical Engineering at Bruface (ULB-VUB). Includes code for sending IMU data from Arduino Nano 33 BLE to Python via BLE, and then stream it to a LSL Network. STL files are included for 3D printing a box and clamp to attach to a welding gun.

My Scilab Codes during EE324 (Control Systems Lab) Autumn 2021-22 and EE615 (Control and Computing Lab) Spring 2022-23

MPU6050 rp2040 C library

It's my hobby project of a self-balancing robot using a STM32F411 as a controller.

This repository contains different algorithms for attitude estimation (roll, pitch and yaw angles) from IMU sensors data: accelerometer, magnetometer and gyrometer measurements

Fast and Accurate sensor fusion using complementary filter .

Attitude Heading Reference System

Provides three different filters for real-time estimation of the orientation using quaternions.

I wrote a library that measures pitch, roll and yaw angles with the help of a complementary filter.

Compute gyro+accel IMU orientation angles by using complementary filter algorithm written purely in ARM assembly on Cortex-M4F STM32. Work in progress.

The double-wheel robot is open sourced for study of embedded systems, IMU sensor fusion and controller design.

6 DOF IMU attitude estimation using Complementary, Madgwick and Unscented Kalman Filter

Library for interfacing mpu9250 with Mbed supported boards

For use of MPU6050 and HMC5883L together in GY-86 Module. The code was written for STM32 operation using the HAL driver in I2C communication

Quaternion based (gimbal lock-safe), hardware independent IMU data processing library.

STM32F103C8T6 (Black Pill) ~ MPU6050 & MPU9250 with Kalman, Complementary, Mahony, Madgwick Filter

This model include; plant,controller,sensor,filter and disturbance models.

Fuses IMU readings with a complementary filter to achieve accurate pitch and roll readings.