Vector control of PMSM based on fuzzy PI with improved bat optimization algorithm

For the complex multi-variable system of permanent magnet synchronous motors, an improved Bat Algorithm (IBA) is proposed to optimize fuzzy control rules in order to enhance system stability and improve dynamic response. The neighborhood search operator is designed based on the interrelationship of fuzzy control rules, and ITAE is employed as a performance metric to evaluate the fuzzy Proportional-Integral control system. A model for PMSM is established, and a simulation environment is built in MATLAB/Simulink based on the mathematical model. The fuzzy-controlled PI controller is compared with the traditional PI controller in terms of motor speed results. The results indicate that the fuzzy PI controller exhibits smaller overshoot, better stability, and dynamic response compared to the traditional PI controller. The algorithm proposed in this study shows promising prospects for application in engineering control.