Full vehicle active suspension: Sensor fault diagnosis and fault tolerance

Abbas Chamseddine, Hassan Noura, Thibaut Raharijaona

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, sensor fault detection, identification and fault tolerance model-based approach is designed for a linear full vehicle's active suspension system. The approach uses a bank of reduced order sliding mode observers to generate residuals. Residuals are defined in such a way to isolate the faulty sensor after detecting the occurrence of the fault. Once detected and isolated, the sensor fault is accommodated by replacing the faulty measurement by its estimation. In this study, sensor drift, bias and complete breakdown are considered. Simulation is made to illustrate the proposed strategy.

Original languageEnglish
Title of host publication6th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2006
PublisherIFAC Secretariat
Pages468-473
Number of pages6
EditionPART 1
ISBN (Print)9783902661142
DOIs
Publication statusPublished - 2006
Externally publishedYes

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume6
ISSN (Print)1474-6670

Keywords

  • Active vehicle suspension
  • Fault diagnosis
  • Fault tolerant systems
  • Sensor failures

ASJC Scopus subject areas

  • Control and Systems Engineering

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