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Development of a Mission Design Tool...

Jennings, Donna Marie.

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Development of a Mission Design Tool for Computing Libration Point Formations Using Differential Corrections Initialized With a Genetic Algorithm./
作者:	Jennings, Donna Marie.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
面頁冊數:	131 p.
附註:	Source: Dissertations Abstracts International, Volume: 85-03, Section: B.
Contained By:	Dissertations Abstracts International85-03B.
標題:	Aerospace engineering. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30571103
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. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 131 p.

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

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

This item must not be sold to any third party vendors.

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.

ISBN: 9798380318723Subjects--Topical Terms:

1002622
Aerospace engineering.
Subjects--Index Terms:

Collinear libration points

Development of a Mission Design Tool for Computing Libration Point Formations Using Differential Corrections Initialized With a Genetic Algorithm.
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245 1 0 $a Development of a Mission Design Tool for Computing Libration Point Formations Using Differential Corrections Initialized With a Genetic Algorithm.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 131 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-03, Section: B.
500 $a Advisor: Pernicka, Henry J.
502 $a Thesis (Ph.D.)--Missouri University of Science and Technology, 2023.
506 $a This item must not be sold to any third party vendors.
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.
590 $a School code: 0587.
650 4 $a Aerospace engineering. $3 1002622
650 4 $a Astrophysics. $3 535904
650 4 $a Mechanical engineering. $3 649730
653 $a Collinear libration points
653 $a Genetic algorithm
653 $a Mission design tool
653 $a Spacecraft formations
653 $a Two-level targeter
690 $a 0538
690 $a 0596
690 $a 0548
710 2 $a Missouri University of Science and Technology. $b Aerospace Engineering. $3 3169112
773 0 $t Dissertations Abstracts International $g 85-03B.
790 $a 0587
791 $a Ph.D.
792 $a 2023
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30571103