Research on Sensorless Control Method Based on Improved Kalman Filter of Sliding Mode Observer

doi:10.16182/j.issn1004731x.joss.201810021

Abstract

Abstract: Aiming at problems of high frequency ripple component existed in PMSM parameter error caused by the sliding mode observer (SMO) estimation error and counter electromotive force, the stable condition of the speed sensorless control system of permanent magnet motor is weakened. The Kalman filter is introduced to eliminate the high frequency ripple in the front of the sliding mode observer. The control system of the permanent magnet synchronous motor has better steady-state effect and dynamic response. A Matlab platform has been built to validate this method, the experimental results show that the improved sliding mode observer is strong robustness, it can inhibit the chattering to a certain extent, on the other hand, it also can improve the stability, rapidity and dynamic performance of the SMO system.

Key words: sliding mode observer, PMSM, position-sensorless, Kalman filter

CLC Number:

TM341

Zhang Haigang, Nie Yuanyuan, Zhang Lei, Wang Bulai, Ye Yinzhong, Wan Heng. Research on Sensorless Control Method Based on Improved Kalman Filter of Sliding Mode Observer[J]. Journal of System Simulation, 2018, 30(10): 3761-3769.

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