A COMPARATIVE STUDY OF PID, FUZZY AND NEURO-FUZZY CONTROLLERS FOR SPEED CONTROL OF DC MOTOR DRIVE

Abstract

This thesis presents a comparative study of various controllers for the speed control of DC motor. The most commonly used controller for the speed control of DC motor is conventional Proportional- Integral- Derivative (PID) controller. However, the PID controller has some disadvantages such as: the high starting overshoot, sensitivity to controller gains and sluggish response due to sudden disturbance. So, the relatively design PID controller with computational optimization approach method is proposed to overcome the disadvantages of the conventional PID controller. Further, two fuzzy logic based controllers namely; fuzzy control and neuro-fuzzy control are proposed in this study and the performance of these controllers are compared with PID controller performance. Simulation results are presented and analyzed for all controllers. It is observed that neuro-fuzzy controller gives a better response than other controllers for the speed control of DC motor drives.