Simulation of Speed control of switched reluctance motor using ANFIS

Abstract

In this paper the simulink model for speed control of switch reluctance motor is carried out using different speed controllers. The simulink model is designed for PI and Fuzzy logic controller separately and their result is compared. The speed controllers applied here are based on conventional PI controller and other one is Adaptive Neuro based Fuzzy logic controller. The PI controller is a special case of the PID controller in which the derivative of the error is not used. Fuzzy logic controller is an intelligent controller which uses fuzzy logic to process the input. In Industrial control FLC has various applications, Particularly where conventional control design techniques are difficult to apply. The ANFIS has theadvantages of expert knowledge of the fuzzy inference systemand the learning capability of neural networks. This controllerrealizes a good dynamic behavior of the motor, a perfect speedtracking with no overshoot and a good rejection of impact loadsdisturbance. The results of applying the adaptive neuro-fuzzycontroller to a SRM give better performance and highrobustness than those obtained by the application of aconventional controller (PI). The above controller was realizedusing MATLAB/Simulink.