제어로봇시스템학회:학술대회논문집

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Intelligent Auto-Tuning for Adaptive Control of DC Motor System with Load Inertia of Great Variation

  • Woraphojn Khongphasook (Faculty of Engineering and Research Center for Communication and Information Technology, King Mongkut) ;
  • Vipan Prijapanij (Faculty of Engineering and Research Center for Communication and Information Technology, King Mongkut) ;
  • anant, Phornsuk-Ratiroch (Faculty of Engineering and Research Center for Communication and Information Technology, King Mongkut) ;
  • Jongkol Ngamwiwit (Faculty of Engineering and Research Center for Communication and Information Technology, King Mongkut) ;
  • Hiroshi Hirata (Member IEEE, Department of Control Engineering, School of Engineering, Tokai University)
  • Published : 2000.10.01
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Abstract

The intelligent auto-tuning method fur a strongly stable adaptive control system of a DC motor with great load inertia variation is proposed. The stable characteristic polynomial that is designed by an optimal servo is specified for the adaptive pole placement control system. The appropriate adaptive control system can be derived, by adjusting automatically the weight of a performance criterion in optimal control by means of the fuzzy inference on the basis of the stability index.

Keywords