Digital PID Control based on GA and Model Matching method for the Application to a DC Motor

The aim of this paper is to design a speed controller of a DC motor by selection of a PID parameters using genetic algorithm with reference model and model matching method. The model of a DC motor is considered as a typical non-oscillatory, second-order system. And this paper compares three kind of method for the selection of PID parameters. One is the controller design by the genetic algorithm, second is the controller design by the model matching method, third is the controller design by Ziegler and Nichols method. It was found that the PID parameters adjustment by the genetic algorithm is better than the Ziegler & Nichols’ method. And also found that the results of the method by the genetic algorithm is nearly same as the model matching method which is analytical method.