Design Robust Fuzzy Model-Based Controller for Uncertain Nonlinear Systems

불확실 비선형 시스템을 위한 강인한 퍼지 모델 기반 제어기

  • 주영훈 (군산대 공대 전기전자제어공학부) ;
  • 장욱 (연세대 공대 전기공학과) ;
  • 박진배 (연세대 공대 전기공학과·)
  • Published : 2000.08.01

Abstract

This paper addresses the analysis and design of fuzzy control systems for a class of complex uncertain single-input single-output nonlinear systems. The proposed method represents the nonlinear system using a Takagi-Cugeno fuzzy model and construct a global fuzzy logic controller by blending all local state feedback controllers with a sliding mode controller. Unlike the commonly used parallel distributed compensation technique, we can design a global stable fuzzy controller without finding a common Lyapunov function for all local control systems, and can obtain good tracking performance by using sliding mode control theory. Furthermore, stability analysis is carried out not for the fuzzy model but for the real nonlinear system with uncertainties. Duffing forced oscillation sysmte is used as an example to show the effectiveness and feasibility of the proposed method.

Keywords

References

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