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标题：Multi objective H ∞ active anti-roll bar control for heavy vehicles
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作者：Van-Tan Vu ; Olivier Sename ; Luc Dugard 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：13802-13807
DOI：10.1016/j.ifacol.2017.08.2071
语种：English
出版社：Elsevier
摘要：AbstractIn 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 active anti-roll bar control and solves a Multi-Criteria Optimization (MCO) problem formulated as anH∞control problem where the weighting functions are optimally selected through the use of Genetic Algorithms (GAs). 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 emphasize the simplicity and efficiency of the use of the GAs method for a MCO problem inH∞active anti-roll bar control on heavy vehicles.
关键词：KeywordsActive anti-roll barH∞controlMulti-criteria optimizationGenetic algorithms