Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Sampled-Data Fault Detection Observer Design of Takagi-Sugeno Fuzzy Systems

타카기-수게노 퍼지 시스템을 위한 샘플치 고장검출 관측기 설계

  • Received : 2012.10.19
  • Accepted : 2013.02.19
  • Published : 2013.02.25
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Abstract

In this paper, we address fault detection observer design problem of T-S fuzzy systems with sensor fault. To detect fault, T-S fuzzy model-based observer is used. By introducing $\mathfrak{H}$_ performance index, an observer is designed as sensitive to fault as possible. The fault is then detected by a fault decision logic. The design conditions are derived in terms of linear matrix inequalities. An illustrative example is provided to verify the effectiveness of the proposed fault detection technique.

본 논문은 센서 고장을 갖는 타카기-수게노 (Takagi-Sugeno: T-S) 퍼지 시스템의 샘플치 고장검출 관측기 설계 문제를 다룬다. 고장검출을 위해 T-S 퍼지 모델 기반의 관측기가 사용된다. $\mathfrak{H}$_ 성능 지수를 도입하여 고장에 가능한 한 민감한 관측기를 설계한다. 고장 판단 논리에 의해 고장 발생 여부를 확인할 수 있다. 관측기의 설계조건을 선형행렬부등식으로 제안한다. 모의실험에서 수치 예제를 통해 제안한 고장검출 기법의 효용성을 입증한다.

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References

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