Design adaptive neuro-fuzzy speed controller for an electro-mechanical system

In this paper an adaptive neuro-fuzzy inference system (ANFIS) controller using error and derivative of error inputs is proposed for the speed control of a separately excited DC motor (SEDM) using chopper circuit. This paper investigates the design and simulation of an adaptive neuro-fuzzy inference system (ANFIS) controller for the speed of DC motor. The performance of the proposed system has been compared with conventional one, where the conventional PI controller (speed controller) in the chopper-fed DC motor drive is replaced by the adaptive neuro-fuzzy controller to improve the dynamic behavior of the model. Computer Simulation is conducted to demonstrate the performance of the proposed controller and results show that the proposed design succeeded over the conventional PI controller where it make reduction of number of ripples and rise time. The entire system has been modeled using MATLAB 2009 toolbox.