{"id":{"repo_id":"carleton","oai_identifier":"oai:carleton.scholaris.ca:20.500.14718/39018"},"canonical_url":"https://search.dev.ndltd.org/etd/carleton/oai:carleton.scholaris.ca:20.500.14718/39018","repository":{"repo_id":"carleton","name":"Carleton University","base_url":"https://carleton.scholaris.ca/server/oai/request"},"display":{"title":"Optimal Trajectory Planning and Compliant Spacecraft Capture Using a Space Robot","abstract":"In this thesis, solutions to the first two of three phases associated with on-orbit debris removal are proposed. The first phase concerns the development of optimal space robot manipulator deployment manoeuvres which ensure zero-attitude displacement by the end of the trajectory. Three common pseudospectral optimal control tools are used to develop the trajectories, and the optimality of each solution is assessed using well-established validation techniques. The second phase addresses the compliant capture of a cooperative target using a nonlinear disturbance observer coupled with an impedance controller, and the observer is shown to be asymptotically stable for the case of a free-flying space robot. The performance of the techniques proposed for each phase are first verified in simulation, then through an experimental validation campaign using Carleton University&apos;s Spacecraft Robotics and Control Laboratory.","abstract_html":"In this thesis, solutions to the first two of three phases associated with on-orbit debris removal are proposed. The first phase concerns the development of optimal space robot manipulator deployment manoeuvres which ensure zero-attitude displacement by the end of the trajectory. Three common pseudospectral optimal control tools are used to develop the trajectories, and the optimality of each solution is assessed using well-established validation techniques. The second phase addresses the compliant capture of a cooperative target using a nonlinear disturbance observer coupled with an impedance controller, and the observer is shown to be asymptotically stable for the case of a free-flying space robot. The performance of the techniques proposed for each phase are first verified in simulation, then through an experimental validation campaign using Carleton University&amp;apos;s Spacecraft Robotics and Control Laboratory.","abstract_has_math":false,"creators":["Crain, Alexander David"],"institution":"Carleton University","degree_name":"Master of Applied Science (M.App.Sc.)","degree_level":"Master&apos;s","degree_discipline":"Engineering, Aerospace","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018","date_published":"2018","updated_at":"2026-07-24T01:34:43Z","subjects":[],"languages":["en"],"rights":["Copyright © 2018 the author(s). 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