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Communication Dans Un Congrès Année : 2024

Fault Estimation Observers for the Vehicle Suspension with a Varying Chassis Mass

Résumé

This paper proposes a descriptor Nonlinear Parameter Varying (NLPV) observer for damper fault estimation in vehicle semi-active suspension systems, here considering the highly practical case of a varying sprung mass, which is an open problem. This mass and the control input are treated as known scheduling parameters for the design and implementation of the observers, thus making the structure adaptive. This novel modeling leads to parameter-dependent dynamics and output matrices in the nonlinear parameter-varying formulation. To solve this problem, we extend an existing reduced-order observer design method (following descriptor system modeling) to this new case. Both polytopic and grid-based methods are then considered to compute and implement the problem solutions. The designs are then assessed using frequency-domain analysis and realistic time-domain simulations.
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Dates et versions

hal-04547667 , version 1 (15-04-2024)

Identifiants

  • HAL Id : hal-04547667 , version 1

Citer

Gia Quoc Bao Tran, Thanh-Phong Pham, Olivier Sename. Fault Estimation Observers for the Vehicle Suspension with a Varying Chassis Mass. 12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), Jun 2024, Ferrara, Italy. ⟨hal-04547667⟩
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