{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/24011"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/24011","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Optimization of relative orbit transfers via particle swarm and primer vector theory","abstract":"Satellite clusters are a useful tool to improve mission cost-effectiveness and redundancy, but controlling the satellites within the cluster is a difficult task. The particle swarm evolutionary algorithm is used to find ways to minimize the amount of fuel required for impulsive transfers between periodic orbits in the relative motion problem. Relative orbit elements are used in order to create the solution vectors for the particle swarm, and the Clohessy-Wiltshire-Hill equations are used to define the motion of the satellites. These trajectories are then analyzed according to primer vector theory, in order to check the optimality of the trajectories developed via the particle swarm algorithm and determine if they may be improved.","abstract_html":"Satellite clusters are a useful tool to improve mission cost-effectiveness and redundancy, but controlling the satellites within the cluster is a difficult task. The particle swarm evolutionary algorithm is used to find ways to minimize the amount of fuel required for impulsive transfers between periodic orbits in the relative motion problem. Relative orbit elements are used in order to create the solution vectors for the particle swarm, and the Clohessy-Wiltshire-Hill equations are used to define the motion of the satellites. These trajectories are then analyzed according to primer vector theory, in order to check the optimality of the trajectories developed via the particle swarm algorithm and determine if they may be improved.","abstract_has_math":false,"creators":["Aubin, Brianna S."],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Aerospace Engineering","degree_department":null,"school":null,"contributors":["Conway, Bruce A."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011-05-25T15:03:01Z","date_published":"2011-05-25T15:03:01Z","updated_at":"2026-07-22T22:25:23Z","subjects":["relative orbits","Clohessy Wiltshire","primer vector","particle swarm","relative orbit elements","evolutionary algorithms","satellite swarm"],"languages":["en"],"rights":["Copyright 2011 Brianna S. Aubin"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/24011","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Conway, Bruce A."]},{"key":"dc:creator","label":"Author","values":["Aubin, Brianna S."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2011-05-25T15:03:01Z","2011-05"]},{"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":["relative orbits","Clohessy Wiltshire","primer vector","particle swarm","relative orbit elements","evolutionary algorithms","satellite swarm"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2011 Brianna S. Aubin"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/24011"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Satellite clusters are a useful tool to improve mission cost-effectiveness and redundancy, but controlling the satellites within the cluster is a difficult task. The particle swarm evolutionary algorithm is used to find ways to minimize the amount of fuel required for impulsive transfers between periodic orbits in the relative motion problem. Relative orbit elements are used in order to create the solution vectors for the particle swarm, and the Clohessy-Wiltshire-Hill equations are used to define the motion of the satellites. 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