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

Vishwa Shah; Ryne Beeson; Victoria Coverstone

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 proceeding › Conference contribution

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 language	English (US)
Title of host publication	AIAA/AAS Astrodynamics Specialist Conference, 2016
Publisher	American Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)	9781624104459
State	Published - Jan 1 2016
Externally published	Yes
Event	AIAA/AAS Astrodynamics Specialist Conference, 2016 - Long Beach, United States Duration: Sep 13 2016 → Sep 16 2016

Other

Other	AIAA/AAS Astrodynamics Specialist Conference, 2016
Country	United States
City	Long Beach
Period	9/13/16 → 9/16/16

ASJC Scopus subject areas

Astronomy and Astrophysics
Aerospace Engineering

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A method for optimizing low-energy transfers in the earth-moon system using global transport and genetic algorithms. / Shah, Vishwa; Beeson, Ryne; Coverstone, Victoria.

AIAA/AAS Astrodynamics Specialist Conference, 2016. American Institute of Aeronautics and Astronautics Inc, AIAA, 2016.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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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).",

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