DC Motor Speed Control Using Fuzzy Logic and Proportional-Integral-Derivative Controller

Abstract

DC Motors are widely used in industries for various purposes. Many situations demand changes in the speed of the DC Motor, and this makes necessity to develop a method to effectively control the speed of DC motor. There are conventional and digital controller types, Proportional Integral (PI), Proportional Derivative (PD), Proportional Integral Derivative (PID) and Fuzzy Logic Controller (FLC). The Fuzzy Logic Controller is used to improve the performance of each controller (PI, PD and PID) used to control speed of the DC motor. In this project PI, PD and PID (with and without Fuzzy Logic Controller) was modelled and simulated in MATLAB SIMULINK environment to control speed of the DC Motor. Aforementioned Controllers were analyzed and evaluated on four terms overshoot, rise time, steady state error and settling time, the purpose of the evaluation to find the best performance to control the speed of DC motor. As a result of this, the Fuzzy PID is the best controller because its improved performance when compared with others controllers.