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

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Input-constrained Tracking Control of a Converter Model Using Invariant Sets

불변 집합을 이용한 컨버터의 입력 제약 추종 제어

  • Kim, Jung-Su (Seoul National University of Science and Technology) ;
  • Lee, Young Il (Seoul National University of Science and Technology)
  • 김정수 (서울과학기술대학교 전기정보공학과) ;
  • 이영일 (서울과학기술대학교 전기정보공학과)
  • Received : 2012.10.23
  • Accepted : 2013.01.28
  • Published : 2013.03.01
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Abstract

This paper proposes an input-constrained reference tracking control of a converter model. To this end, first it is shown that the bilinear converter model can be equivalently represented by a linear uncertain model belonging to a polytopic set. Then, an input-constrained tracking control scheme for the linear uncertain model is designed based on recently proposed tracking control scheme. The control scheme yields not only a stabilizing control gain but also a feasible and invariant set for the converter model. Finally, simulation results show that the state trajectory always stays in the feasible and invariant set and that the output tracks the given reference while satisfying the input constraint.

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References

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