SimulinkEKFAttitude

Real-time EKF Attitude Estimation for Simulink

Using the attached Simulink Model, You can use a real-time Accelerometer, Gyroscope, Magnetometer from any source you have to estimate the Euler angles of your device. Extended Kalman Filter (EKF) is being used which is commonly used in UAVs and many flight controllers e.g. Pixhawk.

Inputs:

Accelerometer data should be m/s
Gyroscope data should be rad/s
Magnetometer data should be ut
dt (time step) can be either a fixed step time or variable (in seconds)
Outputs:

Euler Angles Roll, Pitch, Heading (Yaw) in Radians
*** Remember to add the path to AHRS-master folders and subfolders in your Matlab setting.

Soon I will publish a demonstration Video as well.

I used the project "Attitude and Heading Reference System using MATLAB as simple as possible" in github for the algorithm link: https://github.com/raimapo/AHRS