High-accuracy integration algorithm for attitude heading reference system

Land Cover Mapping & UAV

Authors

First and Last Name Academic degree E-mail Affiliation
Oleksandr Sapehin Ph.D. o.sapegin [at] kpi.ua Igor Sikorsky Kyiv Polytechnic Institute
Kyiv, Ukraine

I and my co-authors (if any) authorize the use of the Paper in accordance with the Creative Commons CC BY license

First published on this website: 25.08.2023 - 16:50
Abstract 

Simulation model of modern microelectromechanical attitude heading reference system was created. It was based on using high-accurate two-step integration method for Bortz vector equation. It allows to increase accuracy of quaternion attitude algorithm. To compensate bias instability of microelectromechanical gyroscopes, Kalman filter was applied. It based on estimation of quaternion a gyroscope errors by adding accelerometers and magnetometers signals. Presented algorithm can be widely used for any type of controlled vehicle and UAVs.

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