Enhancing Positioning Sensor Applications: Online Harmonic Order Determination of Atan2-Function

This study introduces novel techniques for improving error correction in actuator applications using rotary positioning sensors. It addresses challenges related to harmonic distortions and the inhomogeneous sampling of sensor signals. Our approaches include interpolation methods and Kalman filtering, capable of reducing the inhomogeneous sampling and identifying the most significant harmonic order. The developed methods demonstrate high stability with efficient sample sizes and a small distance factor. These enhancements significantly reduce shape change and offer accurate identification of the most significant harmonic order, contributing to improved sensor accuracy and actuation performance in vehicle applications.