Fault detection and isolation for nonlinear non-affine uncertain systems via sliding-mode techniques

H. Ríos, E. Punta, L. Fridman

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

This paper considers the fault detection and isolation problem for nonlinear uncertain non-affine systems. The proposed approach is based on an output-feedback stabilisation strategy, which exploits a Luenberger-like nonlinear observer. As a main result, a residual-based fault detection and isolation approach is developed, which relies on the measurable output, some of its derivatives, which are provided exactly by a uniform high-order sliding-mode differentiator, and the observer’s state. The proposed methodology is able to detect some possible components and actuators faults, and to isolate, under some mild conditions, the actuator faults from those ones in components. Simulation results illustrate the feasibility of the proposed approach.

Original languageEnglish
Pages (from-to)234-246
Number of pages13
JournalInternational Journal of Control
Volume90
Issue number2
DOIs
StatePublished - 1 Feb 2017

Bibliographical note

Funding Information:
The financial support was from CONACYT 132125; CONACYT(Mexico)-CNR(Italy) [grant number 174526]; and PAPIIT [grant number 113613].

Publisher Copyright:
© 2016 Informa UK Limited, trading as Taylor & Francis Group.

Keywords

  • Fault detection and isolation
  • non-affine systems
  • nonlinear systems
  • sliding-modes

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