한국해양대학교

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RCGA를 이용한 PID 제어기의 모델기반 동조규칙

Title
RCGA를 이용한 PID 제어기의 모델기반 동조규칙
Alternative Title
Model-based Tuning Rules of the PID Controller Using Real-coded Genetic Algorithms
Author(s)
金到應
Publication Year
2003
Publisher
韓國海洋大學校
URI
http://kmou.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002173764
http://repository.kmou.ac.kr/handle/2014.oak/8424
Abstract
Over 60 years, the proportional-integral-derivative(PID) controller has been especially popular in industrial processes, such as chemical, petroleum, power and manufacturing industries due to its simple structure and robustness. Since the performance of the PID controller depends highly on its three parameters, the proper tuning of the parameters is required to guarantee acceptable control performance. Therefore, a number of tuning methods, such as the Ziegler-Nichols methods, the Cohen-Coon method, and the IMC method have been proposed. These conventional tuning methods are based on experience and experiment.


In this thesis, a method for obtaining model-based tuning rules for the PID controller are proposed incorporating with real-coded genetic algorithms. First, the optimal parameter sets for step set-point tracking are obtained based on the first-order time delay model and a real-coded genetic algorithm as an optimization tool. As for assessing the performance of the controller, performance indices(IAE, ISE and ITAE) are adopted. Then, tuning rules are derived using the tuned parameter sets, potential rule models and another real-coded genetic algorithm.


A set of simulation works are carried out to verify the effectiveness of the proposed rules.
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제어계측공학과 > Thesis
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