Finding optimal relative orbit transfer trajectories with the particle swarm algorithm and primer vector theory

Brianna Aubin, Bruce Conway, Soon-Jo Chung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Spacecraft formation flights 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 relative 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.

Original languageEnglish (US)
Title of host publicationSpaceflight Mechanics 2011 - Advances in the Astronautical Sciences
Subtitle of host publicationProceedings of the 21st AAS/AIAA Space Flight Mechanics Meeting
Pages853-871
Number of pages19
StatePublished - Oct 6 2011
Event21st AAS/AIAA Space Flight Mechanics Meeting - New Orleans, LA, United States
Duration: Feb 13 2011Feb 17 2011

Publication series

NameAdvances in the Astronautical Sciences
Volume140
ISSN (Print)0065-3438

Other

Other21st AAS/AIAA Space Flight Mechanics Meeting
CountryUnited States
CityNew Orleans, LA
Period2/13/112/17/11

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science

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