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Deep-Space Habitat Autonomy Supported by Hierarchical Digital Twin Architecture.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Deep-Space Habitat Autonomy Supported by Hierarchical Digital Twin Architecture./
作者:	George, Cory Allan.
面頁冊數:	1 online resource (81 pages)
附註:	Source: Masters Abstracts International, Volume: 85-03.
Contained By:	Masters Abstracts International85-03.
標題:	Aerospace engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9798380358965

Deep-Space Habitat Autonomy Supported by Hierarchical Digital Twin Architecture.
George, Cory Allan.

Deep-Space Habitat Autonomy Supported by Hierarchical Digital Twin Architecture. - 1 online resource (81 pages)

Source: Masters Abstracts International, Volume: 85-03.

Thesis (M.S.)--University of California, Davis, 2023.

Includes bibliographical references

The next generation of human-rated space vehicles will need to keep humans alive further from Earth than ever before. This prospect introduces many unique challenges including issues with logistics, communications, and safety. The nature of deep-space habitation will necessitate a level of vehicle autonomy not yet realized for human-rated spacecraft. This work proposes that Digital Twin technology can be used as a new tool to enable heightened autonomy and situational awareness that will ensure the safety of the vehicle and its crew. Use-cases specific to deep-space habitation are explored in detail. A Digital Twin Framework capable of supporting deep-space habitat autonomy is proposed and applicable engineering requirements are established. A demonstration implementation is proposed as a proof of concept to show the basic functioning and utility of the proposed Digital Twin. This study found that a Digital Twin is a necessary and enabling piece of technology for future human-rated spacecraft venturing into deep-space. Necessary future research targets are identified including reduced-order system-of-systems modeling, cross-scale coupling of models, integrated model verification and validation, and semantic interoperability that allows clear communication of any data, information, or query between the Digital Twin and its users.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798380358965Subjects--Topical Terms:

686400
Aerospace engineering.
Subjects--Index Terms:

Autonomous systemsIndex Terms--Genre/Form:

554714
Electronic books.

Deep-Space Habitat Autonomy Supported by Hierarchical Digital Twin Architecture.
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