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Communication Dans Un Congrès Année : 2022

Non Linear Parameter Varying Observer based on Descriptor Modeling for Damper Fault Estimation

Résumé

This paper proposes an H∞ Non Linear Parameter Varying (NLPV) observer for fault estimation in semi-active Electro-Rheological (ER) suspensions. The damper fault (a loss-of-efficiency factor) is modeled as a lost force of unknown/free dynamics to be estimated. Thanks to the parameter-dependent descriptor-form system modeling, there is no assumption made on the fault dynamics, thus making this method applicable to all considered types of damper faults. The nonlinearity in the damper model is bounded by its Lipschitz property, while the road disturbance and the measurement noise are handled using the H∞ condition. The observer is parameterized and then designed by solving Linear Matrix Inequalities (LMIs) and is implemented in a polytopic gain scheduling approach. Synthesis results including Bode plots and simulations illustrate the method in both the frequency and the time domains.
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Dates et versions

hal-03739912 , version 1 (28-07-2022)

Identifiants

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Thanh-Phong Pham, Olivier Sename, Gia Quoc Bao Tran. Non Linear Parameter Varying Observer based on Descriptor Modeling for Damper Fault Estimation. Joint 8th IFAC Symposium on System Structure and Control, 17th IFAC Workshop on Time Delay Systems, 5th IFAC Workshop on Linear Parameter Varying Systems, Sep 2022, Montreal, Canada. ⟨10.1016/j.ifacol.2022.11.29⟩. ⟨hal-03739912⟩
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