A method for optimizing low-energy transfers in the earth-moon system using global transport and genetic algorithms

Vishwa Shah, Ryne Beeson, Victoria Coverstone

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

6 Scopus citations

Abstract

This paper describes the methodology for developing an efficient automated global op-timization tool for spacecraft trajectory optimization in the three body realm. Building on the success of hybrid optimal control (HOC) formulations used by automated interplane-tary global optimizers, we have developed and implemented multi-level framework for the planar circular restricted 3 body problem (PCR3BP). In this paper, we focus our attention on discussing the use of genetic algorithms (GA) at the outer-loop level and a non-linear program (NLP) transcription at the inner loop level of the hybrid optimal control frame-work. Application of the HOC framework towards Earth to L2 missions show good results, expressed in the form a Pareo optimal fronts trading time-of-ight (ΔT) and total fuel expenditure (ΔV).

Original languageEnglish (US)
Title of host publicationAIAA/AAS Astrodynamics Specialist Conference, 2016
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624104459
StatePublished - Jan 1 2016
Externally publishedYes
EventAIAA/AAS Astrodynamics Specialist Conference, 2016 - Long Beach, United States
Duration: Sep 13 2016Sep 16 2016

Other

OtherAIAA/AAS Astrodynamics Specialist Conference, 2016
CountryUnited States
CityLong Beach
Period9/13/169/16/16

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ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Aerospace Engineering

Cite this

Shah, V., Beeson, R., & Coverstone, V. (2016). A method for optimizing low-energy transfers in the earth-moon system using global transport and genetic algorithms. In AIAA/AAS Astrodynamics Specialist Conference, 2016 American Institute of Aeronautics and Astronautics Inc, AIAA.