改进滑模模型参考自适应的PMSM无传感控制

ue to the disadvantage that Model Reference Adaptive Observer (MARS) is sensitive to parameter variations of PMSM (Permanent Magnet Synchronous Motor) and external disturbances, this paper developed a soft-switched sliding mode model reference adaptive observer for PMSM sensorless control. The observer combined the sliding mode control with MRAS. And constructing a variable sinusoidal saturation function was to enhance the robustness of the system and effectively reduce the chattering phenomenon. At the same time, introducing the sigmoid function was to improve the stability of the sliding mode soft switching speed controller. The simulation results show that the soft-switching sliding mode model reference adaptive control can achieve convergence faster, reduce the chattering phenomenon and improve the tracking performance.