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Titel: Optimal operation of dielectric elastomer wave energy converters under harmonic and stochastic excitation
VerfasserIn: Hoffmann, Matthias K.
Heib, Lennart
Moretti, Giacomo
Rizzello, Gianluca
Flaßkamp, Kathrin
Sprache: Englisch
Titel: GAMM-Mitteilungen
Bandnummer: 46
Heft: 2
Verlag/Plattform: Wiley
Erscheinungsjahr: 2023
Freie Schlagwörter: dielectric elastomers
model predictive control
multiobjective optimization
nonlinear optimization
optimal control
wave energy converters
DDC-Sachgruppe: 500 Naturwissenschaften
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: Dielectric elastomers are a promising technology for wave energy harvesting. An optimal system operation can allow maximizing the extracted energy and, simultaneously, reducing wear that would lead to a reduction in the wave harvester lifetime. We pursue a model-based optimization approach to identify optimal controls for wave energy harvesters based on dielectric elastomers. First, a direct method is used for time-discretization of the dielectric elastomer wave energy harvester in the optimal control problem. The two conflicting objectives are considered in a multiobjective optimization framework. Considering a periodic, sinusoidal wave excitation, the optimal solution shows turnpike properties for the optimal periodic mode of operation. However, since real wave motion is neither monochromatic nor predictable on longer time horizons, further extensions are pursued. First, we introduce a stochastic wave excitation. Second, an iterative model-predictive control scheme is designed. Due to multiple objectives, the control scheme has to include an automated adaption of the corresponding priorities. Here, we propose and evaluate a heuristic rule-based adaption in order to maintain the damage below target levels. The approach presented here might be used in the future to guarantee for autonomous operation of farms of wave energy harvesters.
DOI der Erstveröffentlichung: 10.1002/gamm.202300010
URL der Erstveröffentlichung: https://onlinelibrary.wiley.com/doi/10.1002/gamm.202300010
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-400767
hdl:20.500.11880/36082
http://dx.doi.org/10.22028/D291-40076
ISSN: 1522-2608
0936-7195
Datum des Eintrags: 6-Jul-2023
Fakultät: NT - Naturwissenschaftlich- Technische Fakultät
Fachrichtung: NT - Systems Engineering
Professur: NT - Univ.-Prof. Dr. Kathrin Flaßkamp
NT - Prof. Dr. Stefan Seelecke
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes



Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons