Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

The Parameter Auto-tuning of the Reference Model Following Fuzzy Logic Controller

기준모델 추종 퍼지 제어기의 파라메터 자동 동조

  • Roh, Chung-Min (Dept. of Electrical Engineering, Kon-Kuk University) ;
  • Suh, Seung-Hyun (Dept. of Electrical Engineering, Kon-Kuk University) ;
  • Ko, Bong-Woon (Dept. of Electrical Engineering, Kon-Kuk University) ;
  • Nam, Moon-Hyon (Dept. of Electrical Engineering, Kon-Kuk University)
  • 노청민 (건국대학교 전기공학과) ;
  • 서승헌 (건국대학교 전기공학과) ;
  • 고봉운 (건국대학교 전기공학과) ;
  • 남문헌 (건국대학교 전기공학과)
  • Published : 1996.07.22
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Abstract

In this paper, each parameter was identified by the gradient descent method to overcome difficulty deciding fuzzy rules of FLC for the unknown process and the type of membership Junctions. Usually PID or optimal control theories have been mostly usee in control field so far. However, optimal control requires much time for calculation because of adaptation for disturbance and nonlinearity. And intricate technique such as MRAS which can be realized only by an expert are limited to be used in the systems requiring rapid and precise response because of comparatively longer calculating time and complicateness. Gradient descent method is a method to find Z minimizing a function about a certain vector Z. And required output of FLC is gained using gradient approaching method in order to adapt control rule parameters of FLC. Simulation proved validation of this algorithm.

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