Equinoctial Lyapunov Control Law for Low-Thrust Rendezvous

No AccessEngineering NotesEquinoctial Lyapunov Control Law for Low-Thrust RendezvousSanjeev Narayanaswamy and Christopher J. DamarenSanjeev Narayanaswamy https://orcid.org/0000-0002-3037-3620University of Toronto, Toronto, Ontario M3H 5T6, Canada*Ph.D. Candidate, Spacecraft Dynamics and Control Laboratory, Institute for Aerospace Studies, 4925 Dufferin Street; . Student Member AIAA.Search for more papers by this author and Christopher J. Damaren https://orcid.org/0000-0002-2036-2506University of Toronto, Toronto, Ontario M3H 5T6, Canada†Professor and Director, Institute for Aerospace Studies, 4925 Dufferin Street; . Associate Fellow AIAA.Search for more papers by this authorPublished Online:27 Feb 2023https://doi.org/10.2514/1.G006662SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations About References [1] De Ruiter A. H. J., Damaren C. J. and Forbes J. R., Spacecraft Dynamics and Control: An Introduction, Wiley, Chichester, England, U.K., 2013, pp. 65–128. 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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 www.aiaa.org/randp. TopicsAerospace SciencesAstrodynamicsAstronauticsControl TheoryFeedback ControlGuidance, Navigation, and Control SystemsIon ThrusterOptimal Control TheoryOrbital ManeuversPropulsion and PowerSpace OrbitSpacecraft GuidanceSpacecraft Guidance and ControlSpacecraft Propulsion KeywordsOrbital ManeuversFeedback ControlEquatorial OrbitIon ThrusterLow-Thrust Electrical PropulsionRendezvous GuidanceTrajectory OptimizationSatellite RendezvousSpacecraft DynamicsThrust Vector ControlAcknowledgmentsThe authors would like to thank Graham Mackintosh of NASA FDL for creating the AI Challenge for Orbital Debris Remediation, which motivated our research into this topic. The authors are grateful to Chit Hong Yam of ispace Inc., and Stefano Campagnola of NASA JPL, who first suggested we look into the Q-Law literature. The authors also thank Dario Izzo of ESA ACT, Luís F. Simões of ML Analytics, Michael Saunders of Stanford University, and Philip Gill of University of California, San Diego, for valuable discussions. The authors would like to acknowledge the use of the Niagara supercomputer at the University of Toronto and are grateful for support by the Ontario Graduate Scholarship. Finally, the authors thank the anonymous reviewers for their insightful comments and suggestions, which were very helpful.PDF Received4 January 2022Accepted11 January 2023Published online27 February 2023