國立虎尾科技大學 |

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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Designing Optimal Low-Thrust Interplanetary Trajectories Utilizing Monotonic Basin Hopping./
作者:	Johnstone, Richard C.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2022,
面頁冊數:	80 p.
附註:	Source: Masters Abstracts International, Volume: 83-12.
Contained By:	Masters Abstracts International83-12.
標題:	Applied mathematics. -
電子資源:	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:

1069907
Applied mathematics.
Subjects--Index Terms:

Interplanetary

Designing Optimal Low-Thrust Interplanetary Trajectories Utilizing Monotonic Basin Hopping.
LDR:02198nam a2200385 4500 001 1104603
005 20230619080059.5
006 m o d
007 cr#unu||||||||
008 230907s2022 ||||||||||||||||| ||eng d
020 $a 9798819389379
035 $a (MiAaPQ)AAI29162575
035 $a AAI29162575
040 $a MiAaPQ $c MiAaPQ
100 1 $a Johnstone, Richard C. $3 1413489
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 Applied mathematics. $3 1069907
650 4 $a Engineering. $3 561152
650 4 $a Aerospace engineering. $3 686400
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
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29162575