A DC Motor Speed Control by Selection of PID Parameter using Genetic Algorithm
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초록
The aim of this paper is to design a speed controller of a DC motor by selection of a PID parameters using genetic algorithm. The model of a DC motor is considered as a typical nonoscillatory, secondorder system. And this paper compares three kinds of tuning methods of parameter for PID controller. 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 proposed 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. The proposed method could be applied to the higher order system which is not easy to use the model matching method.
Abstract
The aim of this paper is to design a speed controller of a DC motor by selection of a PID parameters using genetic algorithm. The model of a DC motor is considered as a typical nonoscillatory, secondorder system. And this paper compares three kinds of tuning methods of parameter for PID controller. 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 proposed 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. The proposed method could be applied to the higher order system which is not easy to use the model matching method.
참고문헌 (13)
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