Semi active damping force estimation using L P V − H ∞ estimators with different sensing configurations - Archive ouverte HAL
Article Dans Une Revue Journal of The Franklin Institute Année : 2022

Semi active damping force estimation using L P V − H ∞ estimators with different sensing configurations

Résumé

Semi-active suspension systems have become a widespread tool to improve the handling and comfort of vehicles. These systems require adjustable dampers as well as supplementary sensing elements. In addition to displacements and accelerations, some of the best performing approaches require knowledge of the semi active damper force. Since this variable can be difficult and expensive to measure, several estimation methods have been proposed. In this article, two Linear-Parameter-Varying (LPV-) filters are developed to estimate the Semi-Active (SA) damper force, considering two different combinations of sensing elements: the first configuration is more expensive, but potentially more accurate and reliable; whereas the second configuration is cheaper and arguably less reliable. Thanks to the use of LPV- theory, both filters are designed to account for the main nonlinear phenomena of SA dampers (i.e. saturation, hysteresis, etc.), as well as being quadratically stable, robust to the road disturbances and optimized to reduce the estimation error in a specified frequency band. Simulations and experimental data are used to assess the proposed estimators as well as a typical inverse-dynamics estimation approach. The results show that while both of the proposed estimators yield a good degree of accuracy, there are indeed fundamental differences depending on the available sensing elements; a conclusion which could be crucial to appropriately define the instrumentation of semi-active suspension systems.
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Dates et versions

hal-03790422 , version 1 (28-09-2022)

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Juan Tudon-Martinez, Luis Amezquita-Brooks, Diana Hernandez-Alcantara, Olivier Sename. Semi active damping force estimation using L P V − H ∞ estimators with different sensing configurations. Journal of The Franklin Institute, 2022, 359 (2), pp.928-951. ⟨10.1016/j.jfranklin.2021.08.031⟩. ⟨hal-03790422⟩
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