Quantification factor self-tuning fuzzy PID controller research for a permanent magnet synchronous motor feeding system

Abstract

Control of permanent magnet synchronous motor includes nonlinearities, uncertainties and external perturbations that should be considered in the design of control laws. A quantification factor self-tuning fuzzy PID controller for PMSM is suggested by analysis the deficiency and characteristics of conventional PID controller and the limitations of conventional fuzzy PID controller. The simulation results show that the controller can map the error to the fuzzy domain in the whole speed reference range, and slow the motor down when the speed error is small. There is almost no overshoot in both speed up and slow down process. The proposed controller is superior to the conventional fuzzy PID controller in dynamic stability performance and speed tracking power, and the quantification factor self-tuning fuzzy PID controller has strong robustness to external disturbance.