In 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.

Multi-objective optimal control for energy extraction and lifetime maximisation in dielectric elastomer wave energy converters / Hoffmann, Matthias; Moretti, Giacomo; Rizzello, Gianluca; Flaßkamp, Kathrin. - 55.20:(2022), pp. 546-551. (Intervento presentato al convegno MATHMOD 2022 tenutosi a Vienna, Austria nel 27th-29th July 2022) [10.1016/j.ifacol.2022.09.152].

Multi-objective optimal control for energy extraction and lifetime maximisation in dielectric elastomer wave energy converters

Moretti, Giacomo
Secondo
;
2022-01-01

Abstract

In 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.
2022
IFAC-PapersOnLine
Laxenburg, Austria
Elsevier; IFAC
Hoffmann, Matthias; Moretti, Giacomo; Rizzello, Gianluca; Flaßkamp, Kathrin
Multi-objective optimal control for energy extraction and lifetime maximisation in dielectric elastomer wave energy converters / Hoffmann, Matthias; Moretti, Giacomo; Rizzello, Gianluca; Flaßkamp, Kathrin. - 55.20:(2022), pp. 546-551. (Intervento presentato al convegno MATHMOD 2022 tenutosi a Vienna, Austria nel 27th-29th July 2022) [10.1016/j.ifacol.2022.09.152].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/356803
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