Online Identification of Permanent Magnet Flux Based on Extended Kalman Filter for IPMSM Drive With Position Sensorless Control

In order to realize precise rotor position/speed control of ac motor drives under sensorless operation, motor parameters should be online estimated. In this paper, the identification on permanent magnet flux of interior permanent magnet synchronous motor (IPMSM) under position 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. An identification scheme based on extended Kalman filter for the permanent magnet flux of IPMSM is proposed. By using this scheme, the identification problems due to low-order state equations of IPMSM can be avoided. Based on these works, the online permanent magnet flux identification of IPMSM with rotor position/speed senseless control is realized. Simulation and experimental results demonstrate the feasibility and effectiveness of the proposed control methods, which shows that the estimation error of rotor position based on the identified permanent magnet flux is limited within a very low level.