Particle swarm optimization of low-thrust orbital transfers and rendezvous

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. In this research the technique is applied to determining optimal low-thrust orbit transfers and rendezvous. Hamiltonian methods are employed to translate the related optimal control problems into parameter optimization problems. Thus the parameters sought by the PSO are primarily initial values of the costates and the final time if that is unspecified. The PSO is extremely easy to program. Nevertheless, it proves to be effective, reliable, and numerically accurate in solving the optimization problems considered in this work.

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
Pages889-908
Number of pages20
Volume140
StatePublished - 2011
Event21st AAS/AIAA Space Flight Mechanics Meeting - New Orleans, LA, United States
Duration: Feb 13 2011Feb 17 2011

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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