Abstract：The accuracy of the rotor position estimation determines the performance of the sensorless control system of permanent magnet synchronous motor (PMSM). In order to realize precise rotor position/speed control, motor parameters should be online identified. According to the requirements of practical refrigeration system, model reference adaptive system (MRAS) was used in building a sensorless vector control scheme. Then the influence of the changed motor parameters was simulated, and a sensorless control scheme with parameter identification of interior permanent magnet synchronous motor (IPMSM) was proposed. An extended Kalman filter (EKF) online identified the parameters of the rotor flux linkage and q-axis inductance based on the current model of IPMSM, subsequently the identified parameters updated motor model in the sensorless control algorithm. Simulation and experimental results show that the parameter identification algorithm can effectively identify the actual rotor flux linkage as well as q-axis inductance. The position sensorless vector control scheme combined with online parameter identification is feasible and effective, which guarantees the performance of the refrigeration system with some errors of the motor parameters provided by compressor manufacturers.
李旭春, 张 鹏, 严乐阳, 马少康. 具有参数辨识的永磁同步电机无位置传感器控制[J]. 电工技术学报, 2016, 31(14): 139-147.
Li Xuchun, Zhang Peng, Yan Leyang, Ma Shaokang. Sensorless Control of Permanent Magnet Synchronous Motor with Online Parameter Identification. Transactions of China Electrotechnical Society, 2016, 31(14): 139-147.
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2016, Vol. 31 
