PID Controller Based Chopper-Fed DC Motor Drive Using Fuzzy Logic

摘要

Tuning the parameters of a PID controller is very important in PID control. Ziegler and Nichols proposed the well-known Ziegler-Nichols method to tune the coefficients of a PID controller. This tuning method is very simple, but cannot guarantee to be always effective. For this reason, this paper investigates the design of self tuning for a PID controller. The controller includes two parts: conventional PID controller and fuzzy logic control (FLC) part, which has self tuning capabilities in set point tracking performance. The proportional, integral and derivate (KP, KI, KD) gains in a system can be self-tuned on-line with the output of the system under control. The conventional PI controller (speed controller) in the Chopper-Fed DC Motor Drive is replaced by the self tuning PID controller, to make them more general and to achieve minimum steady-state error, also to improve the other dynamic behavior (overshoot). Computer Simulation is conducted to demonstrate its performance and results show that the proposed design is success over the conventional PID controller.