Research on optimization of PMSM vector control system of electric power bicycle based on fuzzy sliding mode control

Abstract In the double closed loop vector control system of electric power highway vehicle motor, the traditional control method can not meet the high-performance requirement of frequent speed regulation of vehicle motor, and the motor must not only respond in real time but also can not chatter, to ensure the stability of the car. Considering the current situation, this paper designs an optimized integral sliding mode controller and uses a new and continuous saturation function to replace the traditional symbolic function, so as to improve the anti-jamming ability and stability of the system. The real-time adjustment of the parameters of the sliding mode reaching law by using the fuzzy control strategy can not only improve the adaptability of the system in the face of different operating states, but also reduce the occurrence of chattering. The simulation results show that the PMSM vector control system based on optimized fuzzy sliding mode control technology has excellent performance in anti-interference and robustness, and is especially suitable for the accurate control of electric power transmission.