Permanent magnet flux identification of IPMSM based on EKF with speed sensorless control

In order to realize precise rotor position/speed control of PMSM under sensorless operation, motor parameters should be on-line estimated. In this paper, the identification on permanent magnet flux of interior permanent magnet synchronous motor (IPMSM) under speed sensorless control is investigated. A rotor flux oriented vector control with model reference adaptive system (MRAS) based rotor position/speed estimation is employed as the basic control strategy for IPMSM drive. Furthermore, an identification method based on extended kalman filter (EKF) for the permanent magnet flux of IPMSM is proposed. By using this method, the identification problems due to low-order state equations of IPMSM can be avoided. Based on these works, the on-line permanent magnet flux identification of IPMSM with speed senseless control is realized. Simulation and experimental results demonstrate the feasibility and effectiveness of the proposed control methods, which shows the estimation error of rotor position based on the identified permanent magnet flux is limited within a very low level.