SimulinkEKFAttitude

Real time EKF Attitude Estimation for Simulink

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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

Cite As

Alireza Ghaderi (2026). SimulinkEKFAttitude (https://github.com/alireza787b/SimulinkEKFAttitude/releases/tag/1.0), GitHub. Retrieved .

General Information

MATLAB Release Compatibility

  • Compatible with R2019a and later releases

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.