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Investigating Adaptive Trajectories to Explore Water Plumes on Icy Moons
KTH, School of Electrical Engineering and Computer Science (EECS).
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis investigates different means of introducing autonomy intodesigning spacecraft trajectories by surveying four different adaptivetrajectories. This is done using established algorithms within pathplanning and robotics, implementing trajectories based on splines andgreedy algorithms. The survey is based on real planetary data lettingthe spacecraft fly through the water plumes on Enceladus. Theseplumes are constructed using analytical models of the water plumesthat have been fitted to measurements made by Cassini during flybysover the last decade. A mission designed to probe these plumes at analtitude as low as 5 km is studied as a test scenario for the adaptive trajectories.It is found that the adaptive trajectories increase the sciencereturn at lower altitudes, both in exploring the terrain and samplingthe plume material.

Abstract [sv]

Uppsatsen undersöker sätt att inkludera autonomi i designen av om- loppsbanor för framtida rymduppdrag. Totalt undersöks fyra olika ad- aptiva omloppsbanor som baseras på etablerade algoritmer inom ro- botik för att självständigt nagivera sin omgivning. Omloppsbanorna består av två kategorier: algoritmer baserade på splines och giriga al- goritmer. Undersökningen utförs genom att flyga igenom vattenply- merna på Enceladus för att förankra den i en verklig miljö baserad på planetär data. Dessa plymer är konstruerade med en analytisk modell för densitetsfältet som är baserad på mätningar av Cassini det senaste årtiondet. Omloppsbanorna testas i ett exempeluppdrag där plymerna undersöks på en altitud ned till 5 km. Resultaten från undersökingen visar att de adaptiva omloppsbanorna returnerar en högre avkastning vid lägre altituder på viktiga mått som uppsamlad densitet och utforskad area.

Place, publisher, year, edition, pages
2018. , p. 39
Series
TRITA-EECS-EX ; 2018:312
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-235750OAI: oai:DiVA.org:kth-235750DiVA, id: diva2:1253061
External cooperation
NASA
Educational program
Master of Science - Aerospace Engineering
Examiners
Available from: 2018-10-03 Created: 2018-10-03 Last updated: 2018-10-03Bibliographically approved

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CiteExportLink to record
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Citation style
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