Optimal finite-thrust rendezvous trajectories found via particle swarm algorithm

Mauro Pontani, Bruce A Conway

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

Abstract

The particle swarm optimization technique is a population-based stochastic method developed in recent years and successfully applied in several fields of research. It represents a very intuitive (and easy to program) methodology for global optimization, inspired by the behavior of bird flocks while searching for food. The particle swarm optimization technique attempts to take advantage of the mechanism of information sharing that affects the overall behavior of a swarm, with the intent of determining the optimal values of the unknown parameters of the problem under consideration. This research applies the technique to determining optimal continuous-thrust rendezvous trajectories in a rotating Euler-Hill frame. Hamiltonian methods are employed to translate the related optimal control problems into parameter optimization problems. Thus the parameters sought by the swarming algorithm are primarily the initial values of the costates and the final time. The algorithm at hand is extremely easy to program. Nevertheless, it proves to be effective, reliable, and numerically accurate in solving the rendezvous optimization problems considered in this work.

Original languageEnglish (US)
Title of host publicationASTRODYNAMICS 2011 - Advances in the Astronautical Sciences
Subtitle of host publicationProceedings of the AAS/AIAA Astrodynamics Specialist Conference
Pages3781-3800
Number of pages20
Volume142
StatePublished - 2012
Event2011 AAS/AIAA Astrodynamics Specialist Conference, ASTRODYNAMICS 2011 - Girdwood, AK, United States
Duration: Jul 31 2011Aug 4 2011

Other

Other2011 AAS/AIAA Astrodynamics Specialist Conference, ASTRODYNAMICS 2011
CountryUnited States
CityGirdwood, AK
Period7/31/118/4/11

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science

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