Multi objective H ∞ active anti-roll bar control for heavy vehicles

Abstract : In the active anti-roll bar control on heavy vehicles, roll stability and energy consumption of actuators are two essential but conflicting performance objectives. In a previous work, the authors proposed an integrated model, including four electronic servo-valve hydraulic actuators in a linear yaw-roll model on a single unit heavy vehicle. This paper aims to design an H ∞ active anti-roll bar control and solves a Multi-Criteria Optimization (MCO) problem by using Genetic Algorithms (GAs) to select the weighting functions for the H ∞ synthesis. Thanks to GAs, the roll stability and the energy consumption are handled using a single high level parameter and illustrated via the Pareto optimality. Simulation results in frequency and time domains emphasize the efficiency of the use of the GAs method for a MCO problem in H ∞ active anti-roll bar control on heavy vehicles.
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Communication dans un congrès
IFAC'2017, 20th World Congress of the International Federation of Automatic Control, Jul 2017, Toulouse, France. Preprints IFAC WC 2017 Toulouse
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Contributeur : Luc Dugard <>
Soumis le : mercredi 9 novembre 2016 - 11:58:59
Dernière modification le : mercredi 15 mars 2017 - 15:52:55
Document(s) archivé(s) le : mardi 14 mars 2017 - 23:43:45

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  • HAL Id : hal-01394358, version 1

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Van-Tan Vu, Olivier Sename, Luc Dugard, Peter Gáspár. Multi objective H ∞ active anti-roll bar control for heavy vehicles. IFAC'2017, 20th World Congress of the International Federation of Automatic Control, Jul 2017, Toulouse, France. Preprints IFAC WC 2017 Toulouse. <hal-01394358>

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