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 |
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ASJC Scopus subject areas
- Astronomy and Astrophysics
- Aerospace Engineering
Cite this
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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TY - GEN
T1 - A method for optimizing low-energy transfers in the earth-moon system using global transport and genetic algorithms
AU - Shah, Vishwa
AU - Beeson, Ryne
AU - Coverstone, Victoria
PY - 2016/1/1
Y1 - 2016/1/1
N2 - 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).
AB - 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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M3 - Conference contribution
SN - 9781624104459
BT - AIAA/AAS Astrodynamics Specialist Conference, 2016
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
ER -