SPEED CONTROL OF DC MOTOR USING FUZZY LOGIC & PI CONTROLLER

Abstract

This project tries to explore the potential of using fuzzy logic methodology in controllers and its advantages over conventional PID controller, which it being the most widely used controller in industrial applications, needs efficient methods to enhance DC motor parameters. This thesis asserts that the conventional approach of PID tuning is not very efficient due to the presence of non-linearity in the system where the output of the conventional. PID system has a quite high overshoot and settling time. The main focus of this project is to apply fuzzy logic techniques to get an output with better dynamic and static performance. The project also discusses the benefits and the short-comings of both the methods. The results obtained from simulation using MATLAB Simulink for fuzzy logic and PID control show that overshoot reduced (88.89%) and settling time reduction was (75.89%) and peak time was (3.22%). On the other hand the rise time became higher than in PID (44.40%).