Research on Intelligent Speed Regulation System of Switched Reluctance Motor Based on Fuzzy Control

This article introduces a switched reluctance motor speed control system based on fuzzy control, focusing on the improvement of the control performance of the speed control system by fuzzy control. This paper uses SIMULINK to simulate the speed control system. By introducing a fuzzy controller based on Mandani fuzzy control rules between the speed outer loop and the current inner loop of the built-up switched reluctance motor speed control system model, the speed fluctuation range of noload start is reduced from 3.2% to 2.3%o, the torque fluctuation range is reduced by 11.122%, and the current fluctuation range is greatly reduced. Compared with the speed control system under the traditional PI control, the control performance of the speed control system after the introduction of fuzzy control has been significantly improved.