Design and simulation of the fuzzy PID control system for PMSM

Abstract Conventional PID-based permanent magnet synchronous motor (PMSM) control has problems such as long regulation time, large overshoot, and poor adaptability. Therefore, a closed-loop SVPWM control system based on FLC and PID is usedin this paper. The system can improve both the speed and significantly reduce the amount of overshooting. The two inputs to the FLC are the rotation speed error and the rate of change of error for the rotor or spindle. The fuzzy controller performs inference and defuzzification according to the MF and fuzzy rules. This logic algorithm finally outputs a signal to achieve FLC control. A Fuzzy PID-based PMSM Closed-loop SVPWM Control System is modeled and simulated in MATLAB/Simulink. In the simulation experiment, after comparing and analyzing with the traditional PID control under different working conditions, the following conclusions are obtained: the PMSM controller based on FLC and PID has the following strengths: fast reaction, negligible overshoot, and greater resilience to change compared to the conventional PID algorithm.