Research on the robustness optimization of PMSM by PID controller with fuzzy logic

Permanent Magnet Synchronous Motor (PMSM) is widely used in industrial automation and robotics due to its high efficiency, high power density, and precise control capabilities. With the development of Industry 4.0 and smart manufacturing, PMSM plays an important role in service robots and collaborative robots. This paper analyzes the working principle and mathematical model of PMSM, and proposes a current regulation strategy based on fuzzy PID control to improve speed control. A simulation model built on the MATLAB/Simulink platform was compared with traditional PID control. The results show that the fuzzy PID control has better adaptability and robustness under load disturbances and significantly improves the system’s accuracy and stability. This control strategy effectively enhances the dynamic performance of PMSM in complex working environments, with strong application prospects.