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H/L fault detection observer for linear parameter-varying systems with parametric uncertainty

  • Northwestern Polytechnical University Xian

Research output: Contribution to journalArticlepeer-review

Abstract

This paper considers H/L fault detection for discrete-time linear parameter-varying (LPV) systems with parametric uncertainty. In H/L fault detection scheme, residual generation and threshold computation are simultaneously designed. With consideration of H/L performance indices, the generated residual is sensitive to faults while robust against unknown disturbances. Furthermore, the L performance provides a time-varying threshold for residual evaluation. This paper proposes a novel H/L fault detection observer design method to handle actuator fault detection for LPV systems with parametric uncertainty. Sufficient conditions of the fault detection observer design in the finite-frequency domain are derived as linear matrix inequalities. Numerical simulations are used to illustrate the effectiveness and superiority of the proposed fault detection observer design approach.

Original languageEnglish
Pages (from-to)2912-2926
Number of pages15
JournalInternational Journal of Robust and Nonlinear Control
Volume29
Issue number10
DOIs
StatePublished - 10 Jul 2019

Keywords

  • L analysis
  • LPV systems
  • fault detection observer
  • finite-frequency domain
  • parametric uncertainty

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