Design of Self Tuning PID Controller Using Fuzzy Logic for DC Motor Speed

Abstract

The development of high performance motor drives is very important in industrial as well as other purpose applications such as electric trains and robotics. Generally, a high-performance motor drive system must have good dynamic speed command tracking and load regulating response to perform task. In this project present an implementation of self-tuned Fuzzy-PID controller for speed control of DC motor based Mat lab/Simulink. The algorithms of Fuzzy-PID controller and conventional PID controller are implemented using PID and Fuzzy logic simulation toolkit of the Mat lab. The simulation results demonstrate that the designed self-tuned Fuzzy-PID controller realize a perfect speed tracking with lesser over shoot and settling time, minimum steady state error and give better performance compared too conventional PID controller and Fuzzy controller.