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Communication Dans Un Congrès Année : 2017

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

van Tan Vu
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Olivier Sename
Luc Dugard

Résumé

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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Dates et versions

hal-01394358 , version 1 (09-11-2016)

Identifiants

  • HAL Id : hal-01394358 , version 1

Citer

van Tan Vu, Olivier Sename, Luc Dugard, Peter Gáspár. Multi objective H ∞ active anti-roll bar control for heavy vehicles. IFAC WC 2017 - 20th IFAC World Congress, Jul 2017, Toulouse, France. pp. 13802 - 13807. ⟨hal-01394358⟩
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