Early Mission Design of Transfers to Halo Orbits via Particle Swarm Optimization

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

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Particle Swarm Optimization (PSO) is used to prune the search space of a low-thrust trajectory transfer from a high-altitude, Earth 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 computation 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)
Pages (from-to)81-102
Number of pages22
JournalJournal of the Astronautical Sciences
Volume63
Issue number2
DOIs
StatePublished - Jun 1 2016

Fingerprint

Particle swarm optimization (PSO)
halos
Orbits
orbits
optimization
Earth (planet)
trajectory
Trajectories
trajectories
Earth-Moon system
low thrust
Earth orbits
Moon
high altitude
thrust
gradients
particle

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

Cite this

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Early Mission Design of Transfers to Halo Orbits via Particle Swarm Optimization. / Abraham, Andrew J.; Spencer, David Bradley; Hart, Terry J.

In: Journal of the Astronautical Sciences, Vol. 63, No. 2, 01.06.2016, p. 81-102.

Research output: Contribution to journalArticle

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