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

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Design of a generalized predictive controller for nonlinear plants using a fuzzy predictor

퍼지 예측기를 이용한 비선형 일반 예측 제어기의 설계

  • 안상철 (서울대학교 제어계측신기술 연구센터) ;
  • 김용호 (서울대학교 제어계측신기술 연구센터) ;
  • 권욱현 (서울대학교 제어계측신기술 연구센터)
  • Published : 1997.06.01
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Abstract

In this paper, a fuzzy generalized predictive control (FGPC) for non-linear plants is proposed. In the proposed method, the receding horizon control is applied to the control part, while fuzzy systems are used for the predictor part. It is suggested that the fuzzy predictor is time-varying affine with respect to input variables for easy computation of control inputs. Since the receding horizon control can be obtained only with a predictor instead of a plant model, the fuzzy predictor is obtained directly from input-output data without identifying a plant model. A parameter estimation algorithm is used for identifying the fuzzy predictor. The control inputs of the FGPC are computed by minimizing a receding horizon cost function with predicted plant outputs. The proposed controller has a similar architecture to the generalized predictive control (GPC) except for the predictor synthesis method, and thus may possess inherent good properties of the GPC. Computer simulations show that the performance of the FGPC is satisfactory.

Keywords

References

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