Trajectory optimization of space vehicle in rendezvous proximity operation with evolutionary feasibility conserving techniques

In 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 Dis...

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Detalles Bibliográficos
Autores: Shirazi, A., Ceberio, J., Lozano, J.A.
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2022
País:España
Institución:Basque Center for Applied Mathematics (BCAM)
Repositorio:BIRD. BCAM's Institutional Repository Data
OAI Identifier:oai:bird.bcamath.org:20.500.11824/1532
Acceso en línea:http://hdl.handle.net/20.500.11824/1532
Access Level:acceso embargado
Palabra clave:Aerospace Engineering
Spacecraft
Optimization
Evolutionary Algorithm
Space Rendezvous
Estimation of Distribution Algorithms
Constraint
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spelling Trajectory optimization of space vehicle in rendezvous proximity operation with evolutionary feasibility conserving techniquesShirazi, A.Ceberio, J.Lozano, J.A.Aerospace EngineeringSpacecraftOptimizationEvolutionary AlgorithmSpace RendezvousEstimation of Distribution AlgorithmsConstraintIn 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.KK-2021/00065 KK-2022/00106; PID2019-104933GB-10/AEI/10.13039/501100011033 PID2019-106453GAI00/AEI/10.13039/501100011033 IT1504-22202220222022info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttp://hdl.handle.net/20.500.11824/1532reponame:BIRD. BCAM's Institutional Repository Datainstname:Basque Center for Applied Mathematics (BCAM)Ingléshttps://www.sciencedirect.com/science/article/pii/S0952197622005139info:eu-repo/grantAgreement/MINECO//SEV-2017-0718info:eu-repo/grantAgreement/Gobierno Vasco/BERC/BERC.2018-2021info:eu-repo/grantAgreement/Gobierno Vasco/ELKARTEK/Reconocimiento-NoComercial-CompartirIgual 3.0 Españahttp://creativecommons.org/licenses/by-nc-sa/3.0/es/info:eu-repo/semantics/embargoedAccessoai:bird.bcamath.org:20.500.11824/15322026-06-19T12:47:47Z
dc.title.none.fl_str_mv Trajectory optimization of space vehicle in rendezvous proximity operation with evolutionary feasibility conserving techniques
title Trajectory optimization of space vehicle in rendezvous proximity operation with evolutionary feasibility conserving techniques
spellingShingle Trajectory optimization of space vehicle in rendezvous proximity operation with evolutionary feasibility conserving techniques
Shirazi, A.
Aerospace Engineering
Spacecraft
Optimization
Evolutionary Algorithm
Space Rendezvous
Estimation of Distribution Algorithms
Constraint
title_short Trajectory optimization of space vehicle in rendezvous proximity operation with evolutionary feasibility conserving techniques
title_full Trajectory optimization of space vehicle in rendezvous proximity operation with evolutionary feasibility conserving techniques
title_fullStr Trajectory optimization of space vehicle in rendezvous proximity operation with evolutionary feasibility conserving techniques
title_full_unstemmed Trajectory optimization of space vehicle in rendezvous proximity operation with evolutionary feasibility conserving techniques
title_sort Trajectory optimization of space vehicle in rendezvous proximity operation with evolutionary feasibility conserving techniques
dc.creator.none.fl_str_mv Shirazi, A.
Ceberio, J.
Lozano, J.A.
author Shirazi, A.
author_facet Shirazi, A.
Ceberio, J.
Lozano, J.A.
author_role author
author2 Ceberio, J.
Lozano, J.A.
author2_role author
author
dc.subject.none.fl_str_mv Aerospace Engineering
Spacecraft
Optimization
Evolutionary Algorithm
Space Rendezvous
Estimation of Distribution Algorithms
Constraint
topic Aerospace Engineering
Spacecraft
Optimization
Evolutionary Algorithm
Space Rendezvous
Estimation of Distribution Algorithms
Constraint
description In 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.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.11824/1532
url http://hdl.handle.net/20.500.11824/1532
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://www.sciencedirect.com/science/article/pii/S0952197622005139
info:eu-repo/grantAgreement/MINECO//SEV-2017-0718
info:eu-repo/grantAgreement/Gobierno Vasco/BERC/BERC.2018-2021
info:eu-repo/grantAgreement/Gobierno Vasco/ELKARTEK/
dc.rights.none.fl_str_mv Reconocimiento-NoComercial-CompartirIgual 3.0 España
http://creativecommons.org/licenses/by-nc-sa/3.0/es/
info:eu-repo/semantics/embargoedAccess
rights_invalid_str_mv Reconocimiento-NoComercial-CompartirIgual 3.0 España
http://creativecommons.org/licenses/by-nc-sa/3.0/es/
eu_rights_str_mv embargoedAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:BIRD. BCAM's Institutional Repository Data
instname:Basque Center for Applied Mathematics (BCAM)
instname_str Basque Center for Applied Mathematics (BCAM)
reponame_str BIRD. BCAM's Institutional Repository Data
collection BIRD. BCAM's Institutional Repository Data
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repository.mail.fl_str_mv
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