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Modeling of an elastic joint: an experimental setup approach

2021Comunicação em conferência Acesso aberto
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dc.contributor.authorPinto, Vítor H.
dc.contributor.authorLima, José
dc.contributor.authorGonçalves, José
dc.contributor.authorCosta, Paulo Gomes da
dc.date.accessioned2021-11-24T11:55:19Z
dc.date.available2021-11-24T11:55:19Z
dc.date.issued2021
dc.description.abstractThroughout this paper it is presented a novel elastic joint configuration, being compared with other similar joints found in recent literature. It is presented its modeling, being its estimation process developed offline, based on a proposed experimental setup. This setup enables to monitor and collect data from an absolute encoder and a load cell. Some data obtained from these sensors is then graphically represented, like angle and torque, obtaining some parameters. Finally, through an optimization process, where the error of the angle is minimized, the remaining parameters of the joint are estimated, thus obtaining a realistic model of the system.pt_PT
dc.description.sponsorshipThis work is financed by National Funds through the Portuguese funding agency, FCT- Fundação para a Ciência e a Tecnologia, with in project UIDB/50014/2020pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPinto, Vítor H.; Lima, José; Gonçalves, José; Costa, Paulo Gomes da (2021). Modeling of an elastic joint: an experimental setup approach. In 14th APCA International Conference on Automatic Control and Soft Computing, CONTROLO 2020. Bragança, p. 676-685. ISBN 978-303058652-2pt_PT
dc.identifier.doi10.1007/978-3-030-58653-9_65pt_PT
dc.identifier.isbn978-303058652-2
dc.identifier.urihttp://hdl.handle.net/10198/24399
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectElastic jointpt_PT
dc.subjectModelingpt_PT
dc.subjectExperimental setuppt_PT
dc.subjectParameter estimationpt_PT
dc.subjectOptimizationpt_PT
dc.titleModeling of an elastic joint: an experimental setup approachpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.endPage685pt_PT
oaire.citation.startPage676pt_PT
oaire.citation.title14Th Apca International Conference on Automatic Control and Soft Computing, Controlo 2020 in: Lecture Notes in Electrical Engineering, 1 July 2020 through 3 July 2020 Volume 695 LNEE, Pages 676-685pt_PT
oaire.citation.volume695pt_PT
person.familyNameLima
person.familyNameGonçalves
person.givenNameJosé
person.givenNameJosé
person.identifierR-000-8GD
person.identifierR-000-7ZW
person.identifier.ciencia-id6016-C902-86A9
person.identifier.ciencia-id8112-DCE2-D025
person.identifier.orcid0000-0001-7902-1207
person.identifier.orcid0000-0002-5499-1730
person.identifier.ridL-3370-2014
person.identifier.ridB-8547-2018
person.identifier.scopus-author-id55851941311
person.identifier.scopus-author-id48361230200
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationd88c2b2a-efc2-48ef-b1fd-1145475e0055
relation.isAuthorOfPublication6a3b0b39-7fe9-4450-94f4-ced3941947da
relation.isAuthorOfPublication.latestForDiscovery6a3b0b39-7fe9-4450-94f4-ced3941947da

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