Non-parametric multi-linear frequency-domain modelling of a wave energy device from experimental data
- Autores
- Farajvand, Mahdiyeh; García Violini, Diego Demián; Ringwood, John V.
- Año de publicación
- 2025
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- In experimental wave tank tests of wave energy converter devices, uncertainty sources arising from the inherent nature of the dynamical system or from external factors are inevitable. It is essential to employ proper signal processing techniques to mitigate these effects and establish realistic WEC models. Careful estimation of a range of representative linearised models, or determination of a nominal model and associated uncertainty region, overcomes the limitations of a single linear model by covering the complete dynamic operational space of the device. In pursuit of this goal, the current study analyses physical wave tank data using force-input experiments for a scale Wavestar prototype. Non-parametric, multi-linear hydrodynamic WEC models are characterised, serving as a starting point for model-based linear WEC robust controller synthesis. Specific focus is directed towards the quantification of uncertainty and external disturbance, specifically tailored to the wave tank under study. Effective data pre- and post-processing steps, adopted for chirp-type signals, are applied to mitigate disturbances while preserving the underlying physical system behaviour. Moreover, as an application example of WEC models obtained from this study, a single nominal model and uncertainty bound are determined that could provide the basis for (linear) robust WEC control.
Fil: Farajvand, Mahdiyeh. Maynooth University; Irlanda
Fil: García Violini, Diego Demián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina
Fil: Ringwood, John V.. Maynooth University; Irlanda - Materia
-
WAVE ENERGY CONVERTER
EXPERIMENTAL WEC MODEL
UNCERTAINTY QUANTIFICATION
MULTI-LINEAR WEC MODELS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/264725
Ver los metadatos del registro completo
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Non-parametric multi-linear frequency-domain modelling of a wave energy device from experimental dataFarajvand, MahdiyehGarcía Violini, Diego DemiánRingwood, John V.WAVE ENERGY CONVERTEREXPERIMENTAL WEC MODELUNCERTAINTY QUANTIFICATIONMULTI-LINEAR WEC MODELShttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2In experimental wave tank tests of wave energy converter devices, uncertainty sources arising from the inherent nature of the dynamical system or from external factors are inevitable. It is essential to employ proper signal processing techniques to mitigate these effects and establish realistic WEC models. Careful estimation of a range of representative linearised models, or determination of a nominal model and associated uncertainty region, overcomes the limitations of a single linear model by covering the complete dynamic operational space of the device. In pursuit of this goal, the current study analyses physical wave tank data using force-input experiments for a scale Wavestar prototype. Non-parametric, multi-linear hydrodynamic WEC models are characterised, serving as a starting point for model-based linear WEC robust controller synthesis. Specific focus is directed towards the quantification of uncertainty and external disturbance, specifically tailored to the wave tank under study. Effective data pre- and post-processing steps, adopted for chirp-type signals, are applied to mitigate disturbances while preserving the underlying physical system behaviour. Moreover, as an application example of WEC models obtained from this study, a single nominal model and uncertainty bound are determined that could provide the basis for (linear) robust WEC control.Fil: Farajvand, Mahdiyeh. Maynooth University; IrlandaFil: García Violini, Diego Demián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; ArgentinaFil: Ringwood, John V.. Maynooth University; IrlandaPergamon-Elsevier Science Ltd2025-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/264725Farajvand, Mahdiyeh; García Violini, Diego Demián; Ringwood, John V.; Non-parametric multi-linear frequency-domain modelling of a wave energy device from experimental data; Pergamon-Elsevier Science Ltd; Ocean Engineering; 326; 3-2025; 1-150029-8018CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.oceaneng.2025.120903info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:46:10Zoai:ri.conicet.gov.ar:11336/264725instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:46:11.232CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Non-parametric multi-linear frequency-domain modelling of a wave energy device from experimental data |
title |
Non-parametric multi-linear frequency-domain modelling of a wave energy device from experimental data |
spellingShingle |
Non-parametric multi-linear frequency-domain modelling of a wave energy device from experimental data Farajvand, Mahdiyeh WAVE ENERGY CONVERTER EXPERIMENTAL WEC MODEL UNCERTAINTY QUANTIFICATION MULTI-LINEAR WEC MODELS |
title_short |
Non-parametric multi-linear frequency-domain modelling of a wave energy device from experimental data |
title_full |
Non-parametric multi-linear frequency-domain modelling of a wave energy device from experimental data |
title_fullStr |
Non-parametric multi-linear frequency-domain modelling of a wave energy device from experimental data |
title_full_unstemmed |
Non-parametric multi-linear frequency-domain modelling of a wave energy device from experimental data |
title_sort |
Non-parametric multi-linear frequency-domain modelling of a wave energy device from experimental data |
dc.creator.none.fl_str_mv |
Farajvand, Mahdiyeh García Violini, Diego Demián Ringwood, John V. |
author |
Farajvand, Mahdiyeh |
author_facet |
Farajvand, Mahdiyeh García Violini, Diego Demián Ringwood, John V. |
author_role |
author |
author2 |
García Violini, Diego Demián Ringwood, John V. |
author2_role |
author author |
dc.subject.none.fl_str_mv |
WAVE ENERGY CONVERTER EXPERIMENTAL WEC MODEL UNCERTAINTY QUANTIFICATION MULTI-LINEAR WEC MODELS |
topic |
WAVE ENERGY CONVERTER EXPERIMENTAL WEC MODEL UNCERTAINTY QUANTIFICATION MULTI-LINEAR WEC MODELS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.2 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
In experimental wave tank tests of wave energy converter devices, uncertainty sources arising from the inherent nature of the dynamical system or from external factors are inevitable. It is essential to employ proper signal processing techniques to mitigate these effects and establish realistic WEC models. Careful estimation of a range of representative linearised models, or determination of a nominal model and associated uncertainty region, overcomes the limitations of a single linear model by covering the complete dynamic operational space of the device. In pursuit of this goal, the current study analyses physical wave tank data using force-input experiments for a scale Wavestar prototype. Non-parametric, multi-linear hydrodynamic WEC models are characterised, serving as a starting point for model-based linear WEC robust controller synthesis. Specific focus is directed towards the quantification of uncertainty and external disturbance, specifically tailored to the wave tank under study. Effective data pre- and post-processing steps, adopted for chirp-type signals, are applied to mitigate disturbances while preserving the underlying physical system behaviour. Moreover, as an application example of WEC models obtained from this study, a single nominal model and uncertainty bound are determined that could provide the basis for (linear) robust WEC control. Fil: Farajvand, Mahdiyeh. Maynooth University; Irlanda Fil: García Violini, Diego Demián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina Fil: Ringwood, John V.. Maynooth University; Irlanda |
description |
In experimental wave tank tests of wave energy converter devices, uncertainty sources arising from the inherent nature of the dynamical system or from external factors are inevitable. It is essential to employ proper signal processing techniques to mitigate these effects and establish realistic WEC models. Careful estimation of a range of representative linearised models, or determination of a nominal model and associated uncertainty region, overcomes the limitations of a single linear model by covering the complete dynamic operational space of the device. In pursuit of this goal, the current study analyses physical wave tank data using force-input experiments for a scale Wavestar prototype. Non-parametric, multi-linear hydrodynamic WEC models are characterised, serving as a starting point for model-based linear WEC robust controller synthesis. Specific focus is directed towards the quantification of uncertainty and external disturbance, specifically tailored to the wave tank under study. Effective data pre- and post-processing steps, adopted for chirp-type signals, are applied to mitigate disturbances while preserving the underlying physical system behaviour. Moreover, as an application example of WEC models obtained from this study, a single nominal model and uncertainty bound are determined that could provide the basis for (linear) robust WEC control. |
publishDate |
2025 |
dc.date.none.fl_str_mv |
2025-03 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/264725 Farajvand, Mahdiyeh; García Violini, Diego Demián; Ringwood, John V.; Non-parametric multi-linear frequency-domain modelling of a wave energy device from experimental data; Pergamon-Elsevier Science Ltd; Ocean Engineering; 326; 3-2025; 1-15 0029-8018 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/264725 |
identifier_str_mv |
Farajvand, Mahdiyeh; García Violini, Diego Demián; Ringwood, John V.; Non-parametric multi-linear frequency-domain modelling of a wave energy device from experimental data; Pergamon-Elsevier Science Ltd; Ocean Engineering; 326; 3-2025; 1-15 0029-8018 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.oceaneng.2025.120903 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Pergamon-Elsevier Science Ltd |
publisher.none.fl_str_mv |
Pergamon-Elsevier Science Ltd |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.070432 |