Preliminary 2-D optimization of low-thrust, geocentric to halo orbit, transfers via particle swarm optimization

Andrew J. Abraham, David B. Spencer, Terry J. Hart

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

Abstract

Particle Swarm Optimization (PSO) is used to optimize a low-thrust trajectory from a geocentric orbit to a Lagrange point orbit in the Earth-Moon system. Unlike a gradient based approach, this evolutionary PSO algorithm is capable of avoiding undesirable local minima. The PSO method is extended to a "local" version and uses a two dimensional search space that is capable of reducing the CPU run-time by an order of magnitude when compared with published work. A technique for choosing appropriate PSO parameters is demonstrated and an example of an optimized trajectory is discussed.

Original languageEnglish (US)
Title of host publicationAdvances In The Astronautical Sciences
EditorsDonald L. Mackison, Ossama Abdelkhalik, Roby S. Wilson, Renato Zanetti
PublisherUnivelt Inc.
Pages1627-1643
Number of pages17
ISBN (Electronic)9780877036111
StatePublished - Jan 1 2014
Event24th AAS/AIAA Space Flight Mechanics Meeting, 2014 - Mexico, United States
Duration: Jan 26 2014Jan 30 2014

Publication series

NameAdvances in the Astronautical Sciences
Volume152
ISSN (Print)0065-3438

Other

Other24th AAS/AIAA Space Flight Mechanics Meeting, 2014
CountryUnited States
CityMexico
Period1/26/141/30/14

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

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