Adaptive Neuro-Fuzzy Controller for Synchronous Motor

This paper presents an application of Adaptive Neuro-Fuzzy (ANF) control for synchronous motor (SM) speed. The ANF has the advantages of expert knowledge of the fuzzy inference system and the learning capabilities of neural networks. An adaptive neuro-fuzzy controller of the motor speed is then designed and simulated. Digital simulation results show that the designed ANF speed controller realizes a good dynamic behaviour of the motor, a perfect speed tracking with no overshoot and a good rejection of load disturbances. The results of applying the adaptive neuro-fuzzy controller to a SM give better performance and high robustness than those obtained by the application of a conventional controller.