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dc.contributor.authorBorlaug, Ida-Louise Garmann
dc.contributor.authorPettersen, Kristin Ytterstad
dc.contributor.authorGravdahl, Jan Tommy
dc.date.accessioned2019-02-13T15:10:21Z
dc.date.available2019-02-13T15:10:21Z
dc.date.created2018-11-19T15:52:05Z
dc.date.issued2018
dc.identifier.citationIFAC-PapersOnLine. 2018, 51 (29), 311-316.nb_NO
dc.identifier.issn2405-8963
dc.identifier.urihttp://hdl.handle.net/11250/2585313
dc.description.abstractThe articulated intervention autonomous underwater vehicle (AIAUV) is a slender, multi-articulated, underwater robot that is equipped with thrusters, i.e. an underwater swimming manipulator (USM). For the AIAUV to be able to move in confined spaces and perform intervention tasks, it is essential to achieve good station-keeping and trajectory tracking performance for the AIAUV by using the thrusters and by using the joints to attain the desired position and orientation of the vehicle. In this paper, we propose a sliding mode control (SMC) law, specifically the super-twisting algorithm with adaptive gains, for the trajectory tracking of the joints angles and position and orientation of the base of the AIAUV, and we consider this tracking problem of the AIAUV in 6 DOF. A higher-order sliding mode observer is proposed for state estimation. Furthermore, we show the ultimate boundedness of the tracking errors, and we demonstrate the applicability of the proposed control law with simulations.nb_NO
dc.language.isoengnb_NO
dc.publisherInternational Federation of Automatic Control (IFAC)nb_NO
dc.titleTrajectory tracking for an articulated intervention AUV using a super-twisting algorithm in 6 DOFnb_NO
dc.title.alternativeTrajectory tracking for an articulated intervention AUV using a super-twisting algorithm in 6 DOFnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber311-316nb_NO
dc.source.volume51nb_NO
dc.source.journalIFAC-PapersOnLinenb_NO
dc.source.issue29nb_NO
dc.identifier.doi10.1016/j.ifacol.2018.09.506
dc.identifier.cristin1632315
dc.relation.projectNorges forskningsråd: 223254nb_NO
dc.description.localcode© 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd.nb_NO
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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