Fuzzy Neural Network PID Speed Control of Switched Reluctance Motor

Aiming at the problem that the switched reluctance drive is difficult to control,this paper proposes a new approach based on fuzzy FCMAC neural network PID control.The main idea of the new approach is to constitute fuzzy FCMAC neural network with the real-time adjustment of PID control parameters through combining Ma Danni direct-rationalistic method with CMAC neural network.The simulation results show that compared with the traditional PID control method,the proposed control method greatly improves dynamic and static performance of SRD,and that it does not require accurate mathematical model and has high control accuracy,small overshoots and high robustness to disturbances.