文章基本信息

标题：Multi-objective optimal control for energy extraction and lifetime maximisation in dielectric elastomer wave energy converters
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作者：Matthias K. Hoffmann ; Giacomo Moretti ; Gianluca Rizzello 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：20
页码：546-551
DOI：10.1016/j.ifacol.2022.09.152
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, we model the multi-objective optimisation problem for maximising the energetic performance while minimising the damage accumulation in ocean wave energy converters based on dielectric elastomer generators (DEGs). DEGs are electrostatic smart-material-based transducers that are cheaper, lighter, and more adaptable to the marine environment than conventional power take-off systems. Because DEGs are prone to electrical breakdown upon cyclic loading, identifying trade-offs between achievable performance and lifetime is currently a crucial research question. Based on some assumptions on the system layout and material properties, and using the methods of Pareto optimisation, we prove that a suitably chosen control strategy can potentially achievez a dramatic reduction in the accumulated damage at the expense of a small reduction in the harvested energy. We further compare the Pareto optimal control solutions with commonly used control heuristics for DEGs, showing that optimal control can provide a reduction in the accumulated damage while preserving (or even improving) the energy performance.
关键词：KeywordsOptimal ControlDielectric Elastomer GeneratorsWave EnergyMulti-Objective OptimizationNon-Linear OptimizationPareto optimization