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Position Control of Linear Switched Reluctance Machine using Flower Pollination Algorithm

dc.contributor.authorNunes, H.G.G.
dc.contributor.authorPestana, Luís
dc.contributor.authorMariano, S.
dc.contributor.authorCalado, M. Do Rosário
dc.date.accessioned2020-01-10T16:54:51Z
dc.date.available2020-01-10T16:54:51Z
dc.date.issued2018-09-25
dc.description.abstractThis paper presents a control mechanism for position control of linear switched reluctance machine (LSRM) using flower pollination algorithm (FPA). The control mechanism consists of the proportional-integral-derivative (PID) position controller. Therefore, the problem of determining the optimal values for the gains (proportional, integral and derivative) of the position controller is defined as an optimization problem that aims to obtain the optimal gains by minimizing the integral of time multiplied by absolute error (ITAE) of the position. In order to evaluate the performance of the FPA different operating scenarios were considered and the salp swarm algorithm (SSA) and multi-verse optimizer (MVO) were also implemented for results comparison. The results reveal that position control based on the optimal gains obtained by the FPA provides the smallest error, improving the dynamic performance of the LSRMpt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/IS.2018.8710462pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/8219
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.subjectFlower poliination algorithmpt_PT
dc.subjectLinear switched reluctance machinept_PT
dc.subjectPID controllerpt_PT
dc.subjectPosition controlpt_PT
dc.titlePosition Control of Linear Switched Reluctance Machine using Flower Pollination Algorithmpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceFunchal, Portugalpt_PT
oaire.citation.endPage342pt_PT
oaire.citation.startPage337pt_PT
oaire.citation.title9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018pt_PT
person.familyNameGarcia Nunes
person.familyNamePestana
person.familyNamePinto Simões Mariano
person.familyNameCalado
person.givenNameHugo Gabriel
person.givenNameLuis
person.givenNameSílvio José
person.givenNameM. do Rosário
person.identifier.ciencia-id541F-E2B4-D66D
person.identifier.ciencia-id9115-032B-370B
person.identifier.orcid0000-0002-6029-7032
person.identifier.orcid0000-0001-5048-4718
person.identifier.orcid0000-0002-6102-5872
person.identifier.orcid0000-0002-5206-487X
person.identifier.ridV-4684-2018
person.identifier.ridQ-9101-2016
person.identifier.ridN-6834-2013
person.identifier.ridN-6809-2013
person.identifier.scopus-author-id57195107686
person.identifier.scopus-author-id55657980200
person.identifier.scopus-author-id35612517200
person.identifier.scopus-author-id9338016700
rcaap.embargofctCopyright cedido à editora no momento da publicaçãopt_PT
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublicatione0d02f19-e905-41a9-87b4-b5801673737c
relation.isAuthorOfPublicationcdbb9afc-4123-45ca-a946-89bafda7ab68
relation.isAuthorOfPublication321aefdd-cd1f-4dd6-878e-c904b3ef89ab
relation.isAuthorOfPublication.latestForDiscovery40ed2120-90cf-41fa-84fc-d1c85cf8d848

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