Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

System Modelling with Fuzzy Inference and Its Implementation to Auto-Tuning

퍼지추론을 이용한 시스템 모델링 및 오토-튜닝의 구현

  • Lee, Dong-Jin (Department of Electrical Engineering, Kon-Kuk University) ;
  • Lee, Un-Cheol (Department of Electrical Engineering, Kon-Kuk University) ;
  • Byun, Hwang-Woo (Department of Electrical Engineering, Kon-Kuk University) ;
  • Nam, Moon-Hyun (Department of Electrical Engineering, Kon-Kuk University)
  • 이동진 (건국대학교 전기공학과) ;
  • 이은철 (건국대학교 전기공학과) ;
  • 변황우 (건국대학교 전기공학과) ;
  • 남문현 (건국대학교 전기공학과)
  • Published : 1993.07.18
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Abstract

This paper presents a new identification method which utilizes fuzzy inference in parameter identification. The proposed system has an additional control loop where a real plant is replaced by a plant model. The control system to be designed is to satisfy the following specifications: 1) It has zero steady-state error. 2) It has adequate damping characteristics. 3) 1),2) satisfied, it has a shortest rise-time. Fuzzy rules describe the relationship between comparison results of the features and magnitude of modification in the model parameter values. This method is effective in auto-tuning because the response of the closed loop is verified. The proposed method is tested in simulation for several plants with first- order lags and dead-times. The results show that the proposed method is effective in practical use.

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