Using particle swarm optimization for earth-return trajectories from libration point orbits

Mollik Nayyar, David B. Spencer

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

Abstract

This paper presents a methodology to use particle swarm optimization to design optimal space trajectories from Lagrange point orbits to Earth orbits. We present an approximate, computationally inexpensive method to scan the available search space and obtain the locations and trajectories associated the with lowest V, which can be used as an initial guess that can be later used in advanced methods to obtain V optimal trajectories. The analysis suggests that it is possible to reach almost any inclination from the manifold of a halo Lagrange Point Orbit without incurring huge V costs depends on the target location for insertion. Ways to improve upon the solver and the optimization algorithm are suggested.

Original languageEnglish (US)
Title of host publicationSpaceflight Mechanics 2017
EditorsJon A. Sims, Frederick A. Leve, Jay W. McMahon, Yanping Guo
PublisherUnivelt Inc.
Pages621-639
Number of pages19
ISBN (Print)9780877036371
StatePublished - Jan 1 2017
Event27th AAS/AIAA Space Flight Mechanics Meeting, 2017 - San Antonio, United States
Duration: Feb 5 2017Feb 9 2017

Publication series

NameAdvances in the Astronautical Sciences
Volume160
ISSN (Print)0065-3438

Other

Other27th AAS/AIAA Space Flight Mechanics Meeting, 2017
CountryUnited States
CitySan Antonio
Period2/5/172/9/17

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

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