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Communication Dans Un Congrès Année : 2012

Robust suspension fault detection

Résumé

The work presented in this paper focuses on robust fault detection for suspension system. Most of suspension system - classical, active or semi active ones - contains non linear parameters within their reference model such as dampers or springs. The approach taken relies in developing fault indicator for such system. The non-linear model is rewritten as an LPV one, where the scheduling parameters are linked with the non-linear parameters. Then fault indicators are synthesized for the discrete-time LPV model based on the extended parity-space approach. Validation of the approach is performed with CarSim.
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Dates et versions

hal-00772324 , version 1 (10-01-2013)

Identifiants

  • HAL Id : hal-00772324 , version 1

Citer

Sébastien Varrier, Balazs Németh, Damien Koenig, John Jairo Martinez Molina, Peter Gaspar. Robust suspension fault detection. VSDIA 2012 - 13th Mini Conference on Vehicle System Dynamics, Identification and Anomalies, Nov 2012, Budapest, Hungary. pp.n/c. ⟨hal-00772324⟩
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