Speed Control of DC Motor Using Adaptive Neuro Fuzzy Inference System Based PID Controller

Abstract

This paper presents a ANFIS-PID controller scheme for speed control of the DC motor. ANFIS is a fusion of Artificial Neural Network and Fuzzy Logic principles and is based on Tagaki-Sugeno-Kang fuzzy interference system. A performance comparison of conventional PID controller and ANFIS-PID controller for speed control of DC motor has been carried out in this work. The analysis is based on the MATLAB/Simulink simulation. The effectiveness of the two controllers are compared in terms of Integral System Error (ISE) and Integral of Time and Absolute Error (ITAE). Results clearly indicate that the performance of ANFIS-PID controller is better than that of the conventional PID controller.