Fast Estimation of Perturbed Impulsive Rendezvous via Semi-Analytical Equality-Constrained Optimization
2020; American Institute of Aeronautics and Astronautics; Volume: 43; Issue: 12 Linguagem: Inglês
10.2514/1.g005220
ISSN1533-3884
AutoresAn-Yi Huang, Ya-Zhong Luo, Hengnian Li,
Tópico(s)Astro and Planetary Science
ResumoNo AccessEngineering NotesFast Estimation of Perturbed Impulsive Rendezvous via Semi-Analytical Equality-Constrained OptimizationAn-Yi Huang, Ya-Zhong Luo and Heng-Nian LiAn-Yi HuangNational University of Defense Technology, 410073 Changsha, People's Republic of China, Ya-Zhong LuoNational University of Defense Technology, 410073 Changsha, People's Republic of China and Heng-Nian LiXi'an Satellite Control Center, 710043 Xi'an, People's Republic of ChinaPublished Online:6 Oct 2020https://doi.org/10.2514/1.G005220SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookTwitterLinked InRedditEmail About References [1] Casalino L. and Dario P., "Active Debris Removal Missions with Multiple Targets," AIAA/AAS Astrodynamics Specialist Conference, AIAA Paper 2014-4226, Aug. 2014. https://doi.org/10.2514/6.2014-4226 LinkGoogle Scholar[2] Izzo D., Getzner I. and Hennes D., "Evolving Solutions to TSP Variants for Active Space Debris Removal," Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation (GECCO'15), Assoc. for Computing Machinery, New York, July 2015, pp. 1207–1214. https://doi.org/10.1145/2739480.2754727 Google Scholar[3] Shen H. and Tsiotras P., "Peer-to-Peer Refueling for Circular Satellite Constellations," Journal of Guidance, Control, and Dynamics, Vol. 28, No. 6, 2005, pp. 1220–1230. https://doi.org/10.2514/1.9570 LinkGoogle Scholar[4] Damario L. 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Published by the American Institute of Aeronautics and Astronautics, Inc., with permission. All requests for copying and permission to reprint should be submitted to CCC at www.copyright.com; employ the eISSN 1533-3884 to initiate your request. See also AIAA Rights and Permissions www.aiaa.org/randp. TopicsAerospace SciencesAlgorithms and Data StructuresArtificial IntelligenceArtificial Neural NetworkAstrodynamicsAstronauticsComputer Programming and LanguageComputing SystemComputing and InformaticsComputing, Information, and CommunicationData ScienceEvolutionary AlgorithmGenetic AlgorithmMachine LearningOptimization AlgorithmOrbital ManeuversSpace OrbitSpace Rendezvous KeywordsNumerical OptimizationSequential Quadratic ProgrammingTrajectory OptimizationMars Orbit RendezvousOrbital ElementsJet Propulsion LaboratoryArgument of LatitudePerigeeFORTRANMonte Carlo SimulationAcknowledgmentThis work was supported by the National Natural Science Foundation of China (No. 11972044).PDF Received1 March 2020Accepted16 August 2020Published online6 October 2020
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