Research on The Accuracy Improvement Method of Angle Encoder based on Kalman Filter

Abstract

In order to improve the accuracy of the magnetic encoder, this paper analyzes the noise characteristics in output signal of magnetic Angle encoder in the real environment, a magnetic encoder based on Kalman Filter (KF) is proposed to solve the problem of random noise which affects the precision of magnetic encoder. The state equation based on the circular motion model is established, and the real-time voltage values of the two output signals are obtained under constant speed rotation of the motor, the angle errors calculated by the voltage signals before and after KF are compared and analyzed. The results show that the scheme can effectively reduce the random noise and improve the Angle accuracy by more than 50% at constant rotation speed. It is proved that the scheme is feasible in industry.