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Fault diagnosis for vehicle lateral dynamics with robust threshold

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conference contribution
posted on 12.05.2016 by Jinya Su, Wen-Hua Chen
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.

Funding

This work is supported by the UK Engineering and Physical Sciences Research Council (EPSRC) Autonomous and Intelligent Systems programme under the grant number EP/J011525/1 with BAE Systems as the leading industrial partner.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

IEEE International Conference on Industrial Technology

Citation

SU, J. and CHEN, W-H., 2016. Fault Diagnosis for Vehicle Lateral Dynamics with Robust Threshold. IN: Proceedings of the 2016 IEEE International Conference on Industrial Technology, Taipei, 14th-17th March 2016, pp. 1777 - 1782

Publisher

© IEEE

Version

AM (Accepted Manuscript)

Acceptance date

31/01/2016

Publication date

2016

Notes

Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

ISBN

9781467380751

Language

en

Location

Taipei

Exports