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Title: Fault diagnosis for vehicle lateral dynamics with robust threshold
Authors: Su, Jinya
Chen, Wen-Hua
Keywords: Disturbance observer
Fault diagnosis
Reachability analysis
Robust threshold
Vehicle lateral dynamics
Issue Date: 2016
Publisher: © IEEE
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
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.
Description: 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.
Sponsor: 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.
Version: Accepted for publication
DOI: 10.1109/ICIT.2016.7475033
URI: https://dspace.lboro.ac.uk/2134/21198
Publisher Link: http://dx.doi.org/10.1109/ICIT.2016.7475033
ISBN: 9781467380751
Appears in Collections:Conference Papers and Presentations (Aeronautical and Automotive Engineering)

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