Oversampled Current Singularity Suppression Strategy Based on Extended Kalman Filter
The dynamic response of the current loop of the traditional vector control strategy of permanent magnet synchronous motor(PMSM)is slow,so researchers often use the oversampling method to improve it.However,high frequency current pulses are easy to be generated during the commutation time of the driver switch tube due to the stray parameters of the circuit,and these current singulas are easy to be introduced in-to the oversampling,which greatly affects the control accuracy of PMSM and the normal operation of the sys-tem.To solve this problem,this paper proposed a filter method for PMSM peak current noise based on ex-tended Kalman filter(EKF),and improved the selection strategy of noise covariance matrix in the traditional EKF method,and adaptively changes the covariance matrix term in the EKF algorithm according to the de-tected current noise to filter out the occasional pulse interference.The simulation and experimental results show that the proposed method has good effect on filtering high-frequency peaking noise,and has strong pa-rameter robustness,which can meet the needs of practical systems.
permanent magnet synchronous motorextended Kalman filterpeak current
万方数据
维普
