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dc.contributor.author
Faedo, Nicolás Ezequiel
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dc.contributor.author
Peña-Sanchez, Yerai
dc.contributor.author
García Violini, Diego Demián
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dc.contributor.author
Ferri, Francesco
dc.contributor.author
Mattiazzo, Giuliana
dc.contributor.author
Ringwood, John V.
dc.date.available
2023-12-12T14:21:53Z
dc.date.issued
2023-04
dc.identifier.citation
Faedo, Nicolás Ezequiel; Peña-Sanchez, Yerai; García Violini, Diego Demián; Ferri, Francesco; Mattiazzo, Giuliana; et al.; Experimental assessment and validation of energy-maximising moment-based optimal control for a prototype wave energy converter; Pergamon-Elsevier Science Ltd; Control Engineering Practice; 133; 4-2023; 1-15
dc.identifier.issn
0967-0661
dc.identifier.uri
http://hdl.handle.net/11336/219993
dc.description.abstract
In recent years, a framework for control of wave energy converters (WECs), termed moment-based control, has been developed within the wave energy conversion literature, exhibiting a remarkable performance in terms of energy absorption, while retaining real-time computational capabilities. Nonetheless, to date, practical results regarding moment-based control for WEC systems have been exclusively provided in numerical simulation, i.e. there is currently a lack of ‘real-world’ assessment of this promising control framework. Motivated by this, we present, in this paper, an experimental assessment and validation of moment-based WEC control for a prototype Wavestar wave energy converter, at the tank-testing facilities of Aalborg University, Denmark. In particular, we address the control design and synthesis procedure in an integrated fashion, covering experimental (physically consistent) system identification, unknown-input estimation and forecasting of wave excitation force, and subsequent control law implementation. We demonstrate that the moment-based controller is able to effectively maximise energy absorption from the wave resource in real-time, with a significant and consistent improvement with respect to the defined benchmark case. The results presented and discussed in this paper demonstrate the feasibility of moment-based WEC control, filling the gap between the attractive theoretical aspects associated with such a strategy, and the practical WEC energy conversion application.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Pergamon-Elsevier Science Ltd
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
ENERGY-MAXIMISING CONTROL
dc.subject
EXPERIMENTAL VALIDATION
dc.subject
MOMENT
dc.subject
MOMENT-MATCHING
dc.subject
OPTIMAL CONTROL
dc.subject
WAVE ENERGY
dc.subject.classification
Control Automático y Robótica
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dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
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dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
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dc.title
Experimental assessment and validation of energy-maximising moment-based optimal control for a prototype wave energy converter
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-12-11T16:03:13Z
dc.journal.volume
133
dc.journal.pagination
1-15
dc.journal.pais
Estados Unidos
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dc.description.fil
Fil: Faedo, Nicolás Ezequiel. Politecnico di Torino; Italia
dc.description.fil
Fil: Peña-Sanchez, Yerai. Universidad del País Vasco; España
dc.description.fil
Fil: García Violini, Diego Demián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina
dc.description.fil
Fil: Ferri, Francesco. Aalborg University; Dinamarca
dc.description.fil
Fil: Mattiazzo, Giuliana. Politecnico di Torino; Italia
dc.description.fil
Fil: Ringwood, John V.. Maynooth University; Irlanda
dc.journal.title
Control Engineering Practice
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0967066123000230
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.conengprac.2023.105454
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