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Due to the disadvantage that model reference adaptive observer (MARS) is sensitive to parameter variations of PMSM 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, it introduced the sigmoid function to improve the stability of the sliding mode soft switching speed controller. The simulation results show that the mode model reference adaptive control based on soft-switching sliding can achieve convergence faster, reduce the chattering phenomenon and improve the tracking performance. [ABSTRACT FROM AUTHOR]

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