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http://dx.doi.org/10.5302/J.ICROS.2002.8.12.1056

Model-based Tuning Rules of the PID Controller Using Real-coded Genetic Algorithms  

김도응 (한국해양대학교 제어계측공학과)
진강규 (한국해양대학교 기계ㆍ정보공학부)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.8, no.12, 2002 , pp. 1056-1060 More about this Journal
Abstract
Model-based tuning rules of the PID controller are proposed incorporating with real-coded genetic algorithms. The optimal parameter sets of the PID controller 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 controllers, performance indices(ISE, IAE 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 is carried out to verify the effectiveness of the proposed rules.
Keywords
model-based tuning rule; PID controller; genetic algorithm; performance indices;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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