Research on switched reluctance motor speed control system with variable universe fuzzy PID

Abstract

Switched reluctance motor (SRM) have strong nonlinear characteristics, and there are unknown parameter fluctuations and external load disturbances in the speed control system. In order to achieve better speed control performance, the variable universe fuzzy adaptive control algorithm is introduced as the speed controller of SRM, and the hysteresis PWM direct instantaneous torque control is introduced as the internal torque controller. Finally, the experiment proves the validity of the algorithm, which shows that the variable universe fuzzy adaptive controller can effectively improve the adaptability of SRM system to parameter fluctuation and the robustness to external load disturbance.