Reduced-Order Linear Kalman Filter (RLKF) Theory in Application of Sensorless Control for Permanent Magnet Synchronous Motor(PMSM)

This paper proposes a novel sensorless technique for PMSM based on reduced-order linear Kalman filter (RLKF or LKF), through the investigation into the comparison with extended Kalman filter (EKF), the proposed RLKF applied in position estimation can obtain higher precision, faster tuning on parameters than EKF and excellent dynamic speed response likewise. Experimental results prove it can match the high standard of servo industry and reliably take place of current EKF algorithm