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

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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System Parameter Estimation and PID Controller Tuning Based on PPGAs

PPGA 기반의 시스템 파라미터 추정과 PID 제어기 동조

  • 신명호 (부양전자산업(주)연구소) ;
  • 김민정 (한국해양대학교 대학원 제어계측공학과) ;
  • 이윤형 (한국해양대학교 대학원 메카트로닉스공학부) ;
  • 소명옥 (한국해양대학교 선박전자기계공학부) ;
  • 진강규 (한국해양대학교 IT 공학부)
  • Published : 2006.07.01
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Abstract

In this paper, a methodology for estimating the model parameters of a discrete-time system and tuning a digital PID controller based on the estimated model and a genetic algorithm is presented. To deal with optimization problems regarding parameter estimation and controller tuning, pseudo-parallel genetic algorithms(PPGAs) are used. The parameters of a discrete-time system are estimated using both the model adjustment technique and a PPGA. The digital PID controller is described by the pulse transfer function and then its three gains are tuned based on both the model reference technique and another PPGA. A set of experimental works on two processes are carried out to illustrate the performance of the proposed method.

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References

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