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Fault diagnosis for vehicle lateral dynamics with robust threshold
conference contributionposted on 2016-05-12, 11:30 authored by Jinya Su, Wen-Hua ChenWen-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.
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.
- Aeronautical, Automotive, Chemical and Materials Engineering
- Aeronautical and Automotive Engineering
Published inIEEE International Conference on Industrial Technology
CitationSU, 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
- AM (Accepted Manuscript)
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