This research demonstrates advanced trajectory optimization methods, indicating improvements in spacecraft navigation efficiency.
No AccessTechnical NotesRapid Spacecraft Trajectory Optimization Using State Transition Tensors and Differential Dynamic ProgrammingSpencer Boone and Jay McMahonSpencer BooneISAE-SUPAERO, Toulouse, 31055 France and Jay McMahon https://orcid.org/0000-0002-1847-4795University of Colorado Boulder, Boulder, Colorado 80309Published Online:21 Sep 2025https://doi.org/10.2514/1.G007293SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookXLinked InRedditEmail About References [1] McIntosh D., Baker J. and Matus J., "The NASA Cubesat Missions Flying on Artemis-1," 34th Annual Small Satellite Conference, Utah State Univ. Paper SSC20-WKVII-02, 2020. Google Scholar[2] McGuire M., Burke L., McCarty S., Hack K., Whitley R., Davis D. and Ocampo C., "Low Thrust Cis-Lunar Transfers Using a 40 KW-Class Solar Electric Propulsion Spacecraft," 2017 AAS/AIAA Astrodynamics Specialist Conference, AAS Paper 17-583, 2017. 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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 https://aiaa.org/publications/publish-with-aiaa/rights-and-permissions/. TopicsAlgorithms and Data StructuresComputing and InformaticsComputing, Information, and CommunicationControl TheoryData ScienceFeedback ControlGuidance, Navigation, and Control SystemsOptimal Control TheoryOptimization AlgorithmPlanetary Science and ExplorationPlanetsSolar System MoonsSpace Science and TechnologySpacecraft GuidanceSpacecraft Guidance and Control KeywordsSpacecraft Trajectory OptimizationPlanetsSolar System MoonsComputing and InformaticsNear Rectilinear Halo OrbitDistant Retrograde OrbitFeedback ControlTrajectory OptimizationOptimization AlgorithmNumerical IntegrationAcknowledgmentThis research was performed at the University of Colorado Boulder under NASA grant 80NSSC19K0222.Digital Received12 October 2022Accepted14 August 2025Published online21 September 2025
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