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dc.contributor.authorLarsén, Alexander
dc.contributor.authorChen, Yutao
dc.contributor.authorBruschetta, Mattia
dc.contributor.authorCarli, Ruggero
dc.contributor.authorCenedese, Angelo
dc.contributor.authorVaragnolo, Damiano
dc.contributor.authorFelicetti, Leonard
dc.date.accessioned2020-03-04T08:36:05Z
dc.date.available2020-03-04T08:36:05Z
dc.date.created2020-02-22T20:01:36Z
dc.date.issued2019
dc.identifier.citationIFAC-PapersOnLine. 2019, 52 (12), 103-110.nb_NO
dc.identifier.issn2405-8963
dc.identifier.urihttp://hdl.handle.net/11250/2645085
dc.description.abstractWe propose a non-linear model predictive scheme for planning fuel efficient maneuvers of small spacecrafts that shall rendezvous space debris. The paper addresses the specific issues of potential limited on-board computational capabilities and low-thrust actuators in the chasing spacecraft, and solves them by using a novel MatLab-based toolbox for real-time non-linear model predictive control (MPC) called MATMPC. This tool computes the MPC rendezvous maneuvering solution in a numerically efficient way, and this allows to greatly extend the prediction horizon length. This implies that the overall MPC scheme can compute solutions that account for the long time-scales that usually characterize the low-thrust rendezvous maneuvers. The so-developed controller is then tested in a realistic scenario that includes all the near-Earth environmental disturbances. We thus show, through numerical simulations, that this MPC method can successfully be used to perform a fuel-efficient rendezvous maneuver with an uncontrolled object, plus evaluate performance indexes such as mission duration, fuel consumption, and robustness against sensor and process noisesnb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleA computationally efficient model predictive control scheme for space debris rendezvousnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber103-110nb_NO
dc.source.volume52nb_NO
dc.source.journalIFAC-PapersOnLinenb_NO
dc.source.issue12nb_NO
dc.identifier.doi10.1016/j.ifacol.2019.11.077
dc.identifier.cristin1796765
dc.description.localcode© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/nb_NO
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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