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Evolutionary based BEL controller applied to a magneto-rheological actuator

dc.contributor.authorBraz-César, Manuel
dc.contributor.authorCoelho, João Paulo
dc.contributor.authorGonçalves, José
dc.date.accessioned2019-06-06T10:22:35Z
dc.date.available2019-06-06T10:22:35Z
dc.date.issued2018
dc.description.abstractThis paper addresses the problem of finding the best Brain Emotional Learning (BEL) controller parameters in order to improve the response of a single degree-of-freedom (SDOF) structural system under an earthquake excitation. The control paradigm considered is based on a semi-active system to control the dynamics of a lumped mass-damper-spring model, being carried out by changing the damping force of a magneto-rheological (MR) damper. A typical BEL based controller requires the definition of several parameters which can be proved difficult and nonintuitive to obtain. For this reason, an evolutionary based search technique has been added to the current problem framework in order to automate the controller design. In particular, the particle swarm optimization (PSO) method was chosen as the evolutionary based technique to be integrated within the current control paradigm. The obtained results suggest that, indeed, it is possible to parametrize a BEL controller using an evolutionary based algorithm. Moreover, simulation shows that the obtained results can outperform the ones obtained by manual tuning each controller parameter individually.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBraz-Cesar, M.T.; Coelho, J.P.; Gonçalves, José (2018). Evolutionary based BEL controller applied to a magneto-rheological actuator. In 13Th Apca International Conference on Control and Soft Computing (Controlo 2018). Ponta Delgada, Sao Miguel. p.384-388pt_PT
dc.identifier.doi10.1109/CONTROLO.2018.8514544pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/19332
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectBELpt_PT
dc.subjectControlopt_PT
dc.titleEvolutionary based BEL controller applied to a magneto-rheological actuatorpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlacePonta Delgada, Sao Miguelpt_PT
oaire.citation.endPage388pt_PT
oaire.citation.startPage384pt_PT
oaire.citation.title13Th Apca International Conference on Control and Soft Computing (Controlo 2018)pt_PT
person.familyNameBraz-César
person.familyNameCoelho
person.familyNameGonçalves
person.givenNameManuel
person.givenNameJoão Paulo
person.givenNameJosé
person.identifierR-001-EXZ
person.identifierR-000-7ZW
person.identifier.ciencia-id5C10-B764-22E3
person.identifier.ciencia-idD61E-A586-7D4A
person.identifier.ciencia-id8112-DCE2-D025
person.identifier.orcid0000-0001-5640-0714
person.identifier.orcid0000-0002-7616-1383
person.identifier.orcid0000-0002-5499-1730
person.identifier.ridJ-6887-2013
person.identifier.ridB-8547-2018
person.identifier.scopus-author-id53663179600
person.identifier.scopus-author-id55137039300
person.identifier.scopus-author-id48361230200
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationa99f08f6-5b97-4571-a6e4-07dee53fb527
relation.isAuthorOfPublication2861f33b-b49a-421d-9bfa-92b4304d2668
relation.isAuthorOfPublication6a3b0b39-7fe9-4450-94f4-ced3941947da
relation.isAuthorOfPublication.latestForDiscovery2861f33b-b49a-421d-9bfa-92b4304d2668

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