Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Model-based Tuning Rules of the PID Controller Using Real-coded Genetic Algorithms

RCGA를 이용한 PID 제어기의 모델기반 동조규칙

  • 김도응 (한국해양대학교 제어계측공학과) ;
  • 진강규 (한국해양대학교 기계ㆍ정보공학부)
  • Published : 2002.12.01
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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

References

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