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

作者：Man-Ching Huang, A.J. Moses, Fatih Anayi, Xiongliang Yao · 年份：2006 · DOI：10.1109/iciea.2006.257147 · 被引用次数：35 · 研究领域：Sensorless Control of Electric Motors、Magnetic Bearings and Levitation Dynamics、Inertial Sensor and Navigation

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