Publication
Control of the archimedes wave swing using neural networks
dc.contributor.author | Beirão, Pedro | |
dc.contributor.author | Mendes, Mário J. G. C. | |
dc.contributor.author | Valério, Duarte | |
dc.contributor.author | Costa, José Sá da | |
dc.date.accessioned | 2019-12-16T12:01:10Z | |
dc.date.available | 2019-12-16T12:01:10Z | |
dc.date.issued | 2007 | |
dc.description.abstract | This paper addresses the control of the Archimedes Wave Swing, a fully-submerged Wave Energy Converter (WEC), of which a prototype has already been built and tested. Simulation results are presented in which Internal Model Control (IMC) is used, both with linear models and with non-linear neural network (NN) models. To the best of our knowledge this is the first time NN-based control is being applied to design a controller for a WEC. NNs are a mathematical tool suitable to model the behaviour of dynamic systems, both linear and non-linear (as in our case). Significant absorbed wave energy increases were found, both using linear models and NNs. Results were better when IMC with NNs was employed (with a nearly sixfold increase against a fivefold increase), except for the May—September period, when IMC with linear models performs better. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | BEIRÃO, Pedro; [et al] – Control of the archimedes wave swing using neural networks. In Proceedings of the 7th European Wave and Tidal Energy Conference (EWTEC 2007). Porto, Portugal: Fundação Eng. António de Almeida, 2007. Pp. 1-10 | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10400.21/10875 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | Fundação Eng. António de Almeida | pt_PT |
dc.relation | POCTI-SFA-10-46IDMEC - FCT | pt_PT |
dc.relation | Fractional Modelling, Identification and Control: Theoretical Developments and Applications | |
dc.subject | Neural networks | pt_PT |
dc.subject | Wave energy | pt_PT |
dc.subject | Internal Model Control | pt_PT |
dc.subject | Archimedes wave swing | pt_PT |
dc.subject | Control | pt_PT |
dc.title | Control of the archimedes wave swing using neural networks | pt_PT |
dc.type | conference object | |
dspace.entity.type | Publication | |
oaire.awardTitle | Fractional Modelling, Identification and Control: Theoretical Developments and Applications | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBPD%2F20636%2F2004/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FEME-CRO%2F70341%2F2006/PT | |
oaire.citation.conferencePlace | 11 a 14 de Setembro de 2007 - Porto, Portugal | pt_PT |
oaire.citation.endPage | 10 | pt_PT |
oaire.citation.startPage | 1 | pt_PT |
oaire.citation.title | 7th European Wave and Tidal Energy Conference (EWTEC 2007). | pt_PT |
oaire.fundingStream | SFRH | |
oaire.fundingStream | 3599-PPCDT | |
person.familyName | Beirão | |
person.familyName | Gonçalves Cavaco Mendes | |
person.familyName | Valério | |
person.givenName | Pedro | |
person.givenName | Mário José | |
person.givenName | Duarte | |
person.identifier.ciencia-id | C715-AF50-3830 | |
person.identifier.ciencia-id | BD18-DE28-4610 | |
person.identifier.ciencia-id | CE15-E79C-E7AF | |
person.identifier.orcid | 0000-0002-6071-1950 | |
person.identifier.orcid | 0000-0002-2448-8667 | |
person.identifier.orcid | 0000-0001-9388-4308 | |
person.identifier.rid | C-4356-2014 | |
person.identifier.rid | B-5405-2008 | |
person.identifier.rid | C-9339-2012 | |
person.identifier.scopus-author-id | 23007612600 | |
person.identifier.scopus-author-id | 24340460600 | |
person.identifier.scopus-author-id | 23010662200 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
rcaap.rights | closedAccess | pt_PT |
rcaap.type | conferenceObject | pt_PT |
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