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Guidance strategies for the boosted landing of reusable launch vehicles
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
Strategier för motor-reglerad landning av återanvändbara bärraketer (Swedish)
Abstract [en]

This document presents the results of the master thesis conducted from April 2019 to October 2019 under the direction of CNES engineer Eric Bourgeois, as part of the KTH Master of Science in Aerospace Engineering curriculum. Within the framework of development studies for the Callisto demonstrator, this master thesis aims at studying and developing possible guidance strategies for the boosted landing. Two main approaches are described in this document :

• Adaptive pseudo-spectral interpolation

• Convex optimization

The satisfying results yielded give strong arguments for choosing the latter as part of the Callisto GNC systems and describe possible implementation strategies as well as complementary analyses that could be conducted.

Abstract [sv]

Denna rapport presenterar resultaten av ett examensarbete som genomfördes från april till oktober 2019 under ledning av CNES-ingenjören Eric Bourgeois, som en del av en masterexamen i flyg- och rymdteknik från KTH, Kungliga tekniska högskolan. Inom ramen för utvecklingsstudier för bärraketen Callisto syftar detta arbete att studera och utveckla möjliga reglerstrategier för Callistos landing som kontrolleras med raketer. Två huvudsakliga metoder beskrivs:

• Adaptiv pseudospektral interpolering

• Konvex optimering

Resultaten ger starka argument för att välja den senare av dessa två metoder för Callistos reglersystem och beskriver möjliga implementeringsstrategier samt vilka kompletterande analyser som bör genomföras

Place, publisher, year, edition, pages
2019. , p. 140
Series
TRITA-SCI-GRU ; 2019:370
Keywords [en]
guidance, Callisto, convex optimization, adaptative pseudo-spectral interpolation, GNC, thesis
National Category
Aerospace Engineering
Identifiers
URN: urn:nbn:se:kth:diva-265614OAI: oai:DiVA.org:kth-265614DiVA, id: diva2:1380181
External cooperation
CNES
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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Citation style
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