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Development of a Mission Design Tool for Computing Libration Point Formations Using Differential Corrections Initialized With a Genetic Algorithm.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Development of a Mission Design Tool for Computing Libration Point Formations Using Differential Corrections Initialized With a Genetic Algorithm./
Author:	Jennings, Donna Marie.
Description:	1 online resource (131 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-03, Section: B.
Contained By:	Dissertations Abstracts International85-03B.
Subject:	Aerospace engineering. -
Online resource:	click for full text (PQDT)
ISBN:	9798380318723

Development of a Mission Design Tool for Computing Libration Point Formations Using Differential Corrections Initialized With a Genetic Algorithm.
Jennings, Donna Marie.

Development of a Mission Design Tool for Computing Libration Point Formations Using Differential Corrections Initialized With a Genetic Algorithm. - 1 online resource (131 pages)

Source: Dissertations Abstracts International, Volume: 85-03, Section: B.

Thesis (Ph.D.)--Missouri University of Science and Technology, 2023.

Includes bibliographical references

The growing interest in deep space spacecraft missions and distributed spacecraft formations has established the need for state-of-the-art advancements in the areas of relative dynamics and mission design. The focus of this research is to develop methods for identifying natural (i.e. ballistic) relative formation trajectories in the vicinity of the collinear libration points. A natural formation decreases the station keeping costs, lowering the consumption of spacecraft resources and extending mission lifetime. This research adapts both numerical and machine learning approaches to the problem of mission design. A genetic algorithm was first used to identify a multi-agent spacecraft formation in the vicinity of the collinear libration points that seeks to maximize a fitness function composed of the mission requirements. Due to the high computational cost, the algorithm approximates the spacecraft motion using an analytical approximation. This preserves the ability of the genetic algorithm to fully explore the design space and decreases the computational expense.Once the genetic algorithm identifies a suitable spacecraft formation, in order to improve the solution fidelity an iterative two-level targeter is initialized using the solution of interest identified by the genetic algorithm and the nonlinear equations of motion are propagated to identify each spacecraft's trajectory in the circular restricted three-body problem. The results show that the fourth-order approximation for the initialization step of the two-level targeter better estimates the nonlinear motion than a first-order approximation and results in minor changes to the final converged trajectory and preserves the desired orbit parameters. The converged trajectories from the two-level targeter were assessed for meeting mission success criteria, and the results indicate the same level or only slightly lower levels of mission success. Multiple case studies are presented that show applications and performances of the proposed mission design method.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798380318723Subjects--Topical Terms:

686400
Aerospace engineering.
Subjects--Index Terms:

Collinear libration pointsIndex Terms--Genre/Form:

554714
Electronic books.

Development of a Mission Design Tool for Computing Libration Point Formations Using Differential Corrections Initialized With a Genetic Algorithm.
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504 $a Includes bibliographical references
520 $a The growing interest in deep space spacecraft missions and distributed spacecraft formations has established the need for state-of-the-art advancements in the areas of relative dynamics and mission design. The focus of this research is to develop methods for identifying natural (i.e. ballistic) relative formation trajectories in the vicinity of the collinear libration points. A natural formation decreases the station keeping costs, lowering the consumption of spacecraft resources and extending mission lifetime. This research adapts both numerical and machine learning approaches to the problem of mission design. A genetic algorithm was first used to identify a multi-agent spacecraft formation in the vicinity of the collinear libration points that seeks to maximize a fitness function composed of the mission requirements. Due to the high computational cost, the algorithm approximates the spacecraft motion using an analytical approximation. This preserves the ability of the genetic algorithm to fully explore the design space and decreases the computational expense.Once the genetic algorithm identifies a suitable spacecraft formation, in order to improve the solution fidelity an iterative two-level targeter is initialized using the solution of interest identified by the genetic algorithm and the nonlinear equations of motion are propagated to identify each spacecraft's trajectory in the circular restricted three-body problem. The results show that the fourth-order approximation for the initialization step of the two-level targeter better estimates the nonlinear motion than a first-order approximation and results in minor changes to the final converged trajectory and preserves the desired orbit parameters. The converged trajectories from the two-level targeter were assessed for meeting mission success criteria, and the results indicate the same level or only slightly lower levels of mission success. Multiple case studies are presented that show applications and performances of the proposed mission design method.
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653 $a Spacecraft formations
653 $a Two-level targeter
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