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dc.contributor.authorShirazi, A. 
dc.contributor.authorCeberio, J.
dc.contributor.authorLozano, J.A. 
dc.date.accessioned2022-10-29T15:24:54Z
dc.date.available2022-10-29T15:24:54Z
dc.date.issued2022-10-09
dc.identifier.issn0952-1976
dc.identifier.urihttp://hdl.handle.net/20.500.11824/1532
dc.description.abstractIn this paper, a direct approach is developed for discovering optimal transfer trajectories of close-range rendezvous of satellites considering disturbances in elliptical orbits. The control vector representing the inputs is parameterized via different interpolation methods, and an Estimation of Distribution Algorithm (EDA) that implements mixtures of probability models is presented. To satisfy the terminal conditions, which are represented as non-linear inequality constraints, several feasibility conserving mechanisms associated with learning and sampling methods of the EDAs are proposed, which guarantee the feasibility of the explored solutions. They include a particular implementation of a clustering algorithm, outlier detection, and several heuristic mapping methods. The combination of the proposed operators guides the optimization process in achieving the optimal solution by surfing the regions of the search domain associated with feasible solutions. Numerical simulations confirm that space transfer trajectories with minimum-fuel consumption for the chaser spacecraft can be obtained with terminal condition satisfaction in rendezvous proximity operation.en_US
dc.description.sponsorshipKK-2021/00065 KK-2022/00106; PID2019-104933GB-10/AEI/10.13039/501100011033 PID2019-106453GAI00/AEI/10.13039/501100011033 IT1504-22en_US
dc.formatapplication/pdfen_US
dc.language.isoengen_US
dc.rightsReconocimiento-NoComercial-CompartirIgual 3.0 Españaen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/en_US
dc.subjectAerospace Engineeringen_US
dc.subjectSpacecraften_US
dc.subjectOptimizationen_US
dc.subjectEvolutionary Algorithmen_US
dc.subjectSpace Rendezvousen_US
dc.subjectEstimation of Distribution Algorithmsen_US
dc.subjectConstrainten_US
dc.titleTrajectory optimization of space vehicle in rendezvous proximity operation with evolutionary feasibility conserving techniquesen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.doi10.1016/j.engappai.2022.105523en_US
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0952197622005139en_US
dc.relation.projectIDES/1PE/SEV-2017-0718en_US
dc.relation.projectIDEUS/BERC/BERC.2018-2021en_US
dc.relation.projectIDEUS/ELKARTEKen_US
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersionen_US
dc.journal.titleEngineering Applications of Artificial Intelligenceen_US


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Reconocimiento-NoComercial-CompartirIgual 3.0 España
Except where otherwise noted, this item's license is described as Reconocimiento-NoComercial-CompartirIgual 3.0 España