Spacecraft Formation Keeping and Reconfiguration Using Optimal Visual Servoing

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Títol: Spacecraft Formation Keeping and Reconfiguration Using Optimal Visual Servoing
Autors: Pomares, Jorge | Felicetti, Leonard | Garcia, Gabriel J. | Ramón, José L.
Grups d'investigació o GITE: Human Robotics (HURO)
Centre, Departament o Servei: Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal
Paraules clau: Visual servoing | Spacecraft control | Formation flying
Data de publicació: 26-de març-2024
Editor: Springer Nature
Citació bibliogràfica: The Journal of the Astronautical Sciences. 2024, 71:19. https://doi.org/10.1007/s40295-024-00439-6
Resum: This 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.
Patrocinadors: This 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).
URI: http://hdl.handle.net/10045/142092
ISSN: 2195-0571
DOI: 10.1007/s40295-024-00439-6
Idioma: eng
Tipus: info:eu-repo/semantics/article
Drets: © 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/.
Revisió científica: si
Versió de l'editor: https://doi.org/10.1007/s40295-024-00439-6
Apareix a la col·lecció: INV - HURO - Artículos de Revistas

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