Passivity-Based Iterative Learning Control for Spacecraft Attitude Tracking on SO(3)

Abstract

No AccessEngineering NotesPassivity-Based Iterative Learning Control for Spacecraft Attitude Tracking on SO(3)Xiaoyu Lang and Anton de RuiterXiaoyu LangRyerson University, Toronto, Ontario M5B 2K3, Canada*Postdoctoral Fellow, Department of Aerospace Engineering, 350 Victoria Street.Search for more papers by this author and Anton de RuiterRyerson University, Toronto, Ontario M5B 2K3, Canada†Professor, Department of Aerospace Engineering, 350 Victoria Street. Associate Fellow AIAA.Search for more papers by this authorPublished Online:11 Feb 2022https://doi.org/10.2514/1.G006246SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookTwitterLinked InRedditEmail About References [1] Luo W., Chu Y. C. and Ling K. 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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 SciencesAstrodynamicsAstronauticsAttitude ControlControl TheoryGuidance, Navigation, and Control SystemsOptimal Control TheoryOrbital PropertySpace OrbitSpacecraft Attitude ControlSpacecraft Guidance and Control KeywordsLinear Time Invariant SystemSpacecraft AttitudeSpacecraft TrackingAttitude DynamicsEarthSun Synchronous OrbitNumerical SimulationMagnetic DipolesSpace MissionsEarth's Magnetic FieldAcknowledgmentThis work was supported by the Canada Research Chairs program (Grant No. 950-230883).PDF Received1 June 2021Accepted30 December 2021Published online11 February 2022