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Autonomous Trajectory Planning and Guidance Control for Launch Vehicles

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his book presents a number of advanced autonomous dynamic trajectory optimal
control technologies for launch vehicles. Improving flight autonomy has gained
broad-ranging concerns, so as to responsively and autonomously handle the unexpected events or failures. It was reported that the enhanced Proton M launch system
adopted artificial intelligence elements to improve the in-flight fail-safe performance
level,1 while many NASA scientists and engineers prefer to discuss machine learning
and autonomy rather than artificial intelligence.2 In China, the China Academy
of Launch Vehicle Technology has drafted a roadmap of smart rockets, and in
Europe, the Future Launchers Preparatory Program is currently investigating onboard real-time trajectory guidance optimization technologies for future reusable
launchers.3

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Availability

Detail Information

Series Title

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Call Number

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Publisher

: Springer Singapore., 2023

Collation

XV, 218

Language

English

ISBN/ISSN

9789819906130

Classification

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Content Type

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Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Autonomous Trajectory Planning
Guidance Control for Launch Vehicles

Specific Detail Info

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Statement of Responsibility

Senn Zhengyu Song, Dangjun Zhao, Stephan Theil

Other Information

Cataloger

angga

Source

-

Validator

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Digital Object Identifier (DOI)

https://link.springer.com/book/10.1007/978-981-99-0613-0

Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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Other version/related

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