Sensorless control of permanent magnet synchronous motor based on predictive adaptation

doi:10.3969/j.issn.1000-1565.2021.02.002

Abstract

Abstract: The traditional sensorless control system of permanent magnet synchronous motor has the problems of poor dynamic performance and low accuracy of speed signal observation.In order to solve these problems,a new sensorless control method for permanent magnet synchronous motor is designed. The online gradient descent method is used to design a second-order linearly expanded state observer.The second-order linearly expanded state observer can accurately and quickly estimate the speed of permanent magnet synchronous motor under the condition of motor load disturbance or sudden speed change. In this paper the adaptive sliding mode control system is applied to the speed control system, and the predictive adaptive method is used to estimate the disturbance of permanent magnet synchronous motor for real-time current compensation. The simulation results show that the second-order linearly extended state observer designed can accurately and quickly estimate the speed, and has strong anti-interference ability; the predictive adaptive sliding mode control strategy effectively shortens the speed response time of the motor, significantly weakens the chattering of the motor speed and electromagnetic torque, showing good dynamics and robustness.

Key words: permanent magnet synchronous motor, predictive adaptation, sliding mode control, state observer, sensorless control

CLC Number:

TP273

CHENG Liang, DAI Tian, DONG Zijian. Sensorless control of permanent magnet synchronous motor based on predictive adaptation[J]. Journal of Hebei University(Natural Science Edition), 2021, 41(2): 119-125.

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