Fault diagnosis for vehicle lateral dynamics with robust threshold

Jinya Su, Wen Hua Chen

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

15 Citations (Scopus)

Abstract

This paper investigates the robust fault diagnosis problem for vehicle lateral dynamics, which play a key role in vehicle stability and driving safety. The proposed fault diagnosis system consists of two sub-systems: fault diagnosis observer and robust threshold. By treating faults as disturbances, Disturbance/Uncertainty Estimation technique is used as fault diagnosis observer to generate residuals. Considering that residuals of model-based fault diagnosis are subject to the effect of uncertainties and consequently large false alarm rate may be resulted in, a novel robust threshold is then proposed based on reachability analysis technique for uncertain systems. The proposed fault diagnosis system is finally applied to the accelerometer and gyrometer sensor fault diagnosis problem of vehicle lateral dynamics, where initial states and velocity are considered to be uncertain. Simulation study verifies the effectiveness of the proposed fault diagnosis system.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1777-1782
Number of pages6
ISBN (Electronic)9781467380751
DOIs
Publication statusPublished - 19 May 2016
EventIEEE International Conference on Industrial Technology, ICIT 2016 - Taipei, Taiwan, Province of China
Duration: 14 Mar 201617 Mar 2016

Conference

ConferenceIEEE International Conference on Industrial Technology, ICIT 2016
Country/TerritoryTaiwan, Province of China
CityTaipei
Period14/03/1617/03/16

Keywords

  • Disturbance observer
  • Fault diagnosis
  • Reachability analysis
  • Robust threshold
  • Vehicle lateral dynamics

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