Robust Gain Scheduling Based on Fuzzy Logic Control and LMI Methods

퍼지논리제어와 LMI기법을 이용한 강인 게인 스케줄링

  • Chi, Hyo-Seon (Dept. of Mechanical Engineering, Korea Advanced Institute of Science and Technology) ;
  • Koo, Kuen-Mo (Dept. of Mechanical Engineering, Korea Advanced Institute of Science and Technology) ;
  • Lee, Hungu ;
  • Tahk, Min-Jea (Dept. of Mechanical Engineering, Korea Advanced Institute of Science and Technology) ;
  • Hong, Sung-Kyung
  • 지효선 (한국과학기술원 기계공학과) ;
  • 구근모 (한국과학기술원 기계공학과) ;
  • 이훈구 ((주)쎄트렉아이) ;
  • 탁민제 (한국과학기술원 기계공학과) ;
  • 홍성경 (세종대학교 항공우주공학과)
  • Published : 2001.01.01

Abstract

This paper proposes a practical gain-scheduling control law considering robust stability and performance of Linear Parameter Varying(LPV) systems in the presence of nonlinearities and uncertainties. The proposed method introduces LMI-based pole placement synthesis and also associates with a recently developed fuzzy control system based on Takagei-Sugenos fuzzy model. The sufficient conditions for robust controller design of linearized local dynamics and robust stabilization of fuzzy control systems are reduced to a finite set of Linear Matrix inequalities(LMIs) and solved by using co-evolutionary algorithms. The proposed method is applied to the longitudinal acceleration control of high performance aircraft with linear and nonlinear simulations.

Keywords

References

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