Position Sensorless Control of PMSM Based on EKF Current Noise Compensation and MRAS

A position sensorless PMSM control method based on model reference adaptation system (MRAS) and current noise compensation is proposed in this paper. Firstly, a rotor speed and position estimation method based on MRAS and proportional-integrated (PI) adaptive control is designed. Then, in order to solve the problem that PMSM control performance is easily affected by current loop noise, a compensation approach based on extended Kalman filter (EKF) is developed. The sensorless control method based on MRAS and EKF current noise compensation proposed in this paper can accurately estimate the motor speed and position, and significantly eliminate the negative effect of current loop noise. The effectiveness of the proposed method is verified through simulations under different speeds and external loads.