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Designing Optimal Low-Thrust Interplanetary Trajectories Utilizing Monotonic Basin Hopping.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Designing Optimal Low-Thrust Interplanetary Trajectories Utilizing Monotonic Basin Hopping./
Author:	Johnstone, Richard C.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2022,
Description:	80 p.
Notes:	Source: Masters Abstracts International, Volume: 83-12.
Contained By:	Masters Abstracts International83-12.
Subject:	Aerospace engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29162575
ISBN:	9798819389379

Designing Optimal Low-Thrust Interplanetary Trajectories Utilizing Monotonic Basin Hopping.
Johnstone, Richard C.

Designing Optimal Low-Thrust Interplanetary Trajectories Utilizing Monotonic Basin Hopping. - Ann Arbor : ProQuest Dissertations & Theses, 2022 - 80 p.

Source: Masters Abstracts International, Volume: 83-12.

Thesis (M.E.)--University of Colorado at Boulder, 2022.

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

Much work has been performed recently to utilize the increasingly viable technology of low-thrust electric propulsion systems on missions of interplanetary scope. This thesis analyzes a technique for designing trajectories for spacecraft with a low-thrust propulsion system that also use natural gravity flybys for missions to the outer planets. Often, the goal is to find feasible solutions that also minimize propellant mass requirements. First, locally optimal solutions are constructed by using an interior-point linesearch algorithm, along with multiple shooting techniques for optimization. Then, Monotonic Basin Hopping is utilized to traverse the search space, improve the local optima determined by the internal optimizer, and determine the global optima. This approach allows for a medium-fidelity, fully automated global optimization of the low thrust controls and flyby parameters for a given target destination. As an application of this method, two sample trajectories to Saturn are analyzed.

ISBN: 9798819389379Subjects--Topical Terms:

686400
Aerospace engineering.
Subjects--Index Terms:

Interplanetary

Designing Optimal Low-Thrust Interplanetary Trajectories Utilizing Monotonic Basin Hopping.
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245 1 0 $a Designing Optimal Low-Thrust Interplanetary Trajectories Utilizing Monotonic Basin Hopping.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2022
300 $a 80 p.
500 $a Source: Masters Abstracts International, Volume: 83-12.
500 $a Advisor: Bosanac, Natasha.
502 $a Thesis (M.E.)--University of Colorado at Boulder, 2022.
506 $a This item must not be sold to any third party vendors.
520 $a Much work has been performed recently to utilize the increasingly viable technology of low-thrust electric propulsion systems on missions of interplanetary scope. This thesis analyzes a technique for designing trajectories for spacecraft with a low-thrust propulsion system that also use natural gravity flybys for missions to the outer planets. Often, the goal is to find feasible solutions that also minimize propellant mass requirements. First, locally optimal solutions are constructed by using an interior-point linesearch algorithm, along with multiple shooting techniques for optimization. Then, Monotonic Basin Hopping is utilized to traverse the search space, improve the local optima determined by the internal optimizer, and determine the global optima. This approach allows for a medium-fidelity, fully automated global optimization of the low thrust controls and flyby parameters for a given target destination. As an application of this method, two sample trajectories to Saturn are analyzed.
590 $a School code: 0051.
650 4 $a Aerospace engineering. $3 686400
650 4 $a Engineering. $3 561152
650 4 $a Applied mathematics. $3 1069907
653 $a Interplanetary
653 $a Low thrust propulsion
653 $a Optimization
653 $a Natural gravity flybys
690 $a 0538
690 $a 0537
690 $a 0364
710 2 $a University of Colorado at Boulder. $b Aerospace Engineering. $3 1179005
773 0 $t Masters Abstracts International $g 83-12.
790 $a 0051
791 $a M.E.
792 $a 2022
793 $a English
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