猎豹算法优化的车用PMSM控制策略研究OA北大核心CSTPCD

To address the slow motor response speed and insufficient anti-interference ability,this paper studies the control technology based on PI controller.First,a permanent magnet synchronous motor vector control model is built based on the principle of vector control.Second,to improve the dynamic performance of the control system in response to speed changes,a fuzzy PI speed controller is designed based on the principle of fuzzy control,which increases the system's response speed.Then,a smart control strategy based on the combination of the Leopard algorithm and fuzzy PI is proposed to address the subjectivity in the process of fuzzy control design and the difficulty in selecting controller parameters under different operating conditions for system parameter matching.Finally,relevant models are built and simulated in MATLAB/Simulink.Our simulation results show the Leopard algorithm quickly obtains the optimal parameters of the fuzzy PI controller and achieves a faster motor speed response with stronger anti-interference ability,enabling the control system to deliver better dynamic performances.