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A Higher Order Adaptive Approach to Tackle the Swinging Problem

dc.contributor.authorTar, József K.
dc.contributor.authorRudas, Imre J.
dc.contributor.authorBitó, János F.
dc.contributor.authorTenreiro Machado, J. A.
dc.contributor.authorKozłowski, Krzysztof R.
dc.date.accessioned2019-04-18T11:23:29Z
dc.date.available2019-04-18T11:23:29Z
dc.date.issued2009
dc.description.abstractIn numerous practical applications precise control of a subsystem passively connected to a precisely controllable subsystem by elastic connection is needed. As typical example is a crane carrying its payload swinging on an elastic string can be mentioned. From the point of view of control technology this task is interesting since the connected degree of freedom has little damping and it is apt to keep swinging accordingly. The traditional approaches apply the input shaping technology to assist the human operator responsible for the manipulation task. In the present paper a novel adaptive approach applying fixed point transformations based iterations having local basin of attraction is proposed for simultaneously tackle the problems originating from the imprecisions of the available dynamic model of the system to be controlled and the swinging phenomenon. In the simulation investigations presented a simple model consisting of two connected masspoints is considered: one of them can directly by controlled by control forces, the other one (in the role of the payload) is dragged by the controlled point via an elastic spring. The control considers the 4th time-derivative of the trajectory of the dragged system.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.doi10.1109/EPEPEMC.2010.5606824
dc.identifier.urihttp://hdl.handle.net/10400.22/13652
dc.language.isoengpt_PT
dc.subjectAdaptive Controlpt_PT
dc.subjectFixed Point Transformationspt_PT
dc.subjectCauchy Sequencespt_PT
dc.subjectIterative Learningpt_PT
dc.subjectLocal Basin of Attractionpt_PT
dc.titleA Higher Order Adaptive Approach to Tackle the Swinging Problempt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage153pt_PT
oaire.citation.startPage145pt_PT
oaire.citation.title10th International Symposium of Hungarian Researchers on Computational Intelligence and Informaticspt_PT
person.familyNameTenreiro Machado
person.givenNameJ. A.
person.identifier.ciencia-id7A18-4935-5B29
person.identifier.orcid0000-0003-4274-4879
person.identifier.ridM-2173-2013
person.identifier.scopus-author-id55989030100
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublication.latestForDiscovery82cd5c17-07b6-492b-b3e3-ecebdad1254f

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