{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/120145"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/120145","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Reducing spacecraft thruster plume contamination using convex optimization","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms","abstract_has_math":false,"creators":["Panag, Himmat Singh"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Aerospace Engineering","degree_department":null,"school":null,"contributors":["Woollands, Robyn"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-05","date_published":"2023-05","updated_at":"2026-07-22T22:24:56Z","subjects":["Convex Optimization","Plume Contamination","Thruster Pointing Constraints","Successive Approximations"],"languages":["en","eng"],"rights":["Copyright 2023 Himmat Panag"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/120145","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Woollands, Robyn"]},{"key":"dc:creator","label":"Author","values":["Panag, Himmat Singh"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2023-05","2023-05-02"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Aerospace Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Convex Optimization","Plume Contamination","Thruster Pointing Constraints","Successive Approximations"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2023 Himmat Panag"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/120145"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms","The student, Himmat Panag, accepted the attached license on 2023-04-28 at 15:53.","The student, Himmat Panag, submitted this Thesis for approval on 2023-04-28 at 16:27.","This Thesis was approved for publication on 2023-05-02 at 16:49.","DSpace SAF Submission Ingestion Package generated from Vireo submission #19256 on 2023-09-01 at 16:56:00","Commercialization of space has opened the door to a multitude of possibilities for on-orbit servicing, assembly and manufacturing missions. Rendezvous, proximity operations and docking are key elements of such missions, and extreme care must be taken to avoid thruster plume contamination of delicate sensors or payloads onboard either vehicle. In this paper we present a thorough investigation into the key sources of contamination for chemical and electric thrusters operating in close proximity to another vehicle. We develop first order plume models, to approximate thruster induced contamination, for use in our trajectory planning simulations. Fuel-optimal approach trajectories from the chaser/servicer satellite to the target/client satellite are computed using convex optimization, where the Clohessy-Wilteshire equations are used to represent the system dynamics. We then re-solve the problem while restricting the thruster pointing region by formulating a non-convex pointing constraint. This constraint is incorporated using a successive approximations method and leads to converged trajectories that reduce contamination of designated areas on the target vehicle, while keeping the required ∆V for the maneuver relatively low compared with the unconstrained problem. As expected, results confirm that incorporating this pointing constraint into the convex optimization problem leads to trajectories that are significantly more fuel efficient than those where an arbitrary non-optimal pointing constraint is simply enforced at specific times to avoid contamination."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Reducing spacecraft thruster plume contamination using convex optimization"]}]}],"canonical_facts":{"dc:contributor":["Woollands, Robyn"],"dc:creator":["Panag, Himmat Singh"],"dc:date":["2023-05","2023-05-02"],"dc:description":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms","The student, Himmat Panag, accepted the attached license on 2023-04-28 at 15:53.","The student, Himmat Panag, submitted this Thesis for approval on 2023-04-28 at 16:27.","This Thesis was approved for publication on 2023-05-02 at 16:49.","DSpace SAF Submission Ingestion Package generated from Vireo submission #19256 on 2023-09-01 at 16:56:00","Commercialization of space has opened the door to a multitude of possibilities for on-orbit servicing, assembly and manufacturing missions. Rendezvous, proximity operations and docking are key elements of such missions, and extreme care must be taken to avoid thruster plume contamination of delicate sensors or payloads onboard either vehicle. In this paper we present a thorough investigation into the key sources of contamination for chemical and electric thrusters operating in close proximity to another vehicle. We develop first order plume models, to approximate thruster induced contamination, for use in our trajectory planning simulations. Fuel-optimal approach trajectories from the chaser/servicer satellite to the target/client satellite are computed using convex optimization, where the Clohessy-Wilteshire equations are used to represent the system dynamics. We then re-solve the problem while restricting the thruster pointing region by formulating a non-convex pointing constraint. This constraint is incorporated using a successive approximations method and leads to converged trajectories that reduce contamination of designated areas on the target vehicle, while keeping the required ∆V for the maneuver relatively low compared with the unconstrained problem. As expected, results confirm that incorporating this pointing constraint into the convex optimization problem leads to trajectories that are significantly more fuel efficient than those where an arbitrary non-optimal pointing constraint is simply enforced at specific times to avoid contamination."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/120145"],"dc:language":["en","eng"],"dc:rights":["Copyright 2023 Himmat Panag"],"dc:subject":["Convex Optimization","Plume Contamination","Thruster Pointing Constraints","Successive Approximations"],"dc:title":["Reducing spacecraft thruster plume contamination using convex optimization"],"dc:type":["text"],"thesis:degree_discipline":["Aerospace Engineering"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:56Z"}