Spacecraft Formation Keeping and Reconfiguration Using Optimal Visual Servoing

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dc.contributorHuman Robotics (HURO)es_ES
dc.contributor.authorPomares, Jorge-
dc.contributor.authorFelicetti, Leonard-
dc.contributor.authorGarcia, Gabriel J.-
dc.contributor.authorRamón, José L.-
dc.contributor.otherUniversidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señales_ES
dc.date.accessioned2024-04-10T09:40:41Z-
dc.date.available2024-04-10T09:40:41Z-
dc.date.issued2024-03-26-
dc.identifier.citationThe Journal of the Astronautical Sciences. 2024, 71:19. https://doi.org/10.1007/s40295-024-00439-6es_ES
dc.identifier.issn2195-0571-
dc.identifier.urihttp://hdl.handle.net/10045/142092-
dc.description.abstractThis paper proposes a direct visual servoing system for spacecraft guidance in formation flying scenarios. The proposed image-based visual servoing system uses image information for planning and executing formation acquisition, reconfiguration, and maintenance maneuvers. The system assumes that LEDs are located at specific points on the satellites, enabling the visual servoing controller to rely on continuous tracking of these features in the camera’s image plane. Analytical developments demonstrate that the proposed optimal visual control system is stable and optimal, and it acts on both the orbital and attitude dynamics of the spacecraft, considering circular and elliptical reference orbits. The distributed image-based controller defines a cost function that minimizes control efforts, and the paper proses an optimal framework for developing controllers that address the issue. A ROS-based simulation tool was used to test the proposed visual servoing controller in a realistic small-sat formation flying scenario. Results indicate that the proposed distributed control strategy is viable and robust against environmental perturbations and disturbances in sensing and actuation.es_ES
dc.description.sponsorshipThis research was supported by the grant CIAICO/2022/077 “Plataforma de control y simulación de código abierto para escenarios de robótica de servicio en órbita” (Programa AICO 2023, Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital de la Generalitat Valenciana, Spain).es_ES
dc.languageenges_ES
dc.publisherSpringer Naturees_ES
dc.rights© The Author(s) 2024. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.es_ES
dc.subjectVisual servoinges_ES
dc.subjectSpacecraft controles_ES
dc.subjectFormation flyinges_ES
dc.titleSpacecraft Formation Keeping and Reconfiguration Using Optimal Visual Servoinges_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.peerreviewedsies_ES
dc.identifier.doi10.1007/s40295-024-00439-6-
dc.relation.publisherversionhttps://doi.org/10.1007/s40295-024-00439-6es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
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