Cuda-enhanced integration for quick poincaré surface intersections in a global optimization framework for low energy transfers

Joshua Aurich, Ryne Beeson, Victoria Coverstone

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

4 Scopus citations

Abstract

Identifying homoclinic and heteroclinic intersections of manifolds associated with libration point periodic orbits has proven to be an effective design methodology for generating low-energy trajectory solutions in the restricted three-body problem. The method of intersection identification upon Poincaré surfaces of section has been previously automated by the authors; this paper extends that work by incorporating the algorithm into an automated global optimization framework. The second half of this paper then focuses on the important issue of making the automated detection process numerically efficient; otherwise runtime performance of the global optimizer could be excessive. We accomplish this by using graphics processing units (GPU) and CUDA programming. We discuss run-time performance, implementation improvements, and demonstrate the aforementioned capabilities on a variant of the Hiten mission.

Original languageEnglish (US)
Title of host publicationSpaceflight Mechanics 2017
EditorsJon A. Sims, Frederick A. Leve, Jay W. McMahon, Yanping Guo
PublisherUnivelt Inc.
Pages3919-3938
Number of pages20
ISBN (Print)9780877036371
StatePublished - Jan 1 2017
Externally publishedYes
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

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science

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