Design of Adaptive Neural Fuzzy Controller for Speed Control of BLDC Motors

The purpose of this paper is to design an adaptive neuro-fuzzy controller to control the speed of the BLDC motor. This paper throws overall view of the performance of fuzzy PID controller and compares with fuzzy - adaptive neural controller. Taking suitable characteristics in PID controller is difficult, but fuzzy is has the ability to take appropriate control parameters and calculations easier. An adaptive neuro fuzzy control system has the advantages of both types of fuzzy control system and neuro system. This paper examines the BLDC motor speed control based on adaptive neuro – fuzzy, first by simulating fuzzy PID controller and then designing controller adaptive neuro - fuzzy using ANFIS toolbox for the motor. The characteristics of speed, torque, current and voltage in the three controllers finally are compared and it was concluded that the characteristic of the controller adaptive neuro - fuzzy (ANFIS) is better than the other two controllers.