Parallel Reduced-Order Extended Kalman Filter for PMSM Sensorless Drives

Abstract

This paper proposes a speed sensorless vector control system for a Permanent Magnet Synchronous Motor (PMSM) by using a parallel reduced-order Extended Kalman Filter. The proposed scheme can save computation time greatly and estimate rotor speed and position by using new algorithms according to driving regions. To verify the merit of the proposed scheme, a comparison of a new reduced-order EKF algorithm with a conventional EKF algorithm has been also made in terms of computation time. Simulation and experimental results validate the theoretical analysis and show the feasibility of the proposed estimation technique.