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Optimization of relative orbit transfers via particle swarm and primer vector theory

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Title: Optimization of relative orbit transfers via particle swarm and primer vector theory
Author(s): Aubin, Brianna S.
Advisor(s): Conway, Bruce A.
Department / Program: Aerospace Engineering
Discipline: Aerospace Engineering
Degree Granting Institution: University of Illinois at Urbana-Champaign
Degree: M.S.
Genre: Thesis
Subject(s): relative orbits Clohessy Wiltshire primer vector particle swarm relative orbit elements evolutionary algorithms satellite swarm
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.
Issue Date: 2011-05-25
Rights Information: Copyright 2011 Brianna S. Aubin
Date Available in IDEALS: 2011-05-25
Date Deposited: 2011-05

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