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Mission Programmingfor the Mars Moon eXplorer Mission
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Space Technology.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Uppdragsprogrammering för rymduppdraget Mars Moon eXplorer (Swedish)
Abstract [en]

This thesis presents a way to maximise the photographic coverage of Phobos, one of the two Martian moons, as part of the space mission Mars Moon eXplorer. This coverage is performed by the French hyperspectral imager MacrOmega, and two criteria are selected: the area covered and the resolution of the pictures. The approach considered is a greedy algorithm, and elements of basic theory are provided. This greedy approach is compared to a chronological algorithm, whose results were already approved for the mission.

Abstract [sv]

Detta examensarbete presenterar ett sätt att maximera den fotografisk täckningen av Phobos, som är en av Mars två månar, som en del av rymduppdraget Mars Moon eXplorer. Den fotografiska täckningen ska utföras av den franska hyperspektralavbildaren MacrOmega, och två kriterier har valts ut: (i) området som omfattas samt (ii) bildens upplösning. Metoden som testas är en girig algoritm och baselementen i algoritmen presenteras. Den giriga algoritmens resultat jämförs med resultat från en kronologisk algoritm, vars resultat redan godkänts för uppdraget.

Place, publisher, year, edition, pages
2019. , p. 28
Series
TRITA-SCI-GRU ; 2019:405
National Category
Aerospace Engineering
Identifiers
URN: urn:nbn:se:kth:diva-265608OAI: oai:DiVA.org:kth-265608DiVA, id: diva2:1380157
External cooperation
CNES, France
Examiners
Available from: 2019-12-18 Created: 2019-12-18 Last updated: 2019-12-18Bibliographically approved

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CiteExportLink to record
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