Real-time estimation of the damping force of vehicle electrorheological suspension

Abstract : The real-time estimation of damper force is crucial for control and diagnosis of suspension systems for road vehicles. In this study, we consider a semi-active electrorheological (ER) suspension system. First, a nonlinear quarter-car model is proposed that takes the nonlinear and dynamical characteristics of the semi-active damper into account. The estimation of the damper force is developed through a H2 observer whose objective is to minimize the effects of bounded unknown road profile disturbances and measurement noises on the estimation errors of the state variables. The considered measured variables, used as inputs for the observer design, are the two accelerometers data from the sprung mass and the unsprung mass of the quarter-car system, respectively. Finally, the observer performances are assessed experimentally using the INOVE platform from GIPSA-lab (1/5-scaled real vehicle. See http://www.gipsa-lab.fr/projet/inove/index.html). Both simulation and experimental results emphasize the robustness of the estimation method against measurement noise and road disturbances, showing the effectiveness in the ability of estimating the damper force in real-time.
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Submitted on : Monday, January 14, 2019 - 5:35:06 PM
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  • HAL Id : hal-01980947, version 1

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Thanh-Phong Pham, Olivier Sename, Luc Dugard, Van Tan Vu. Real-time estimation of the damping force of vehicle electrorheological suspension. VSDIA 2018 - The 16th Mini Conference on Vehicle System Dynamics, Identification and Anomalies, Nov 2018, Budapest, Hungary. ⟨hal-01980947⟩

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