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High-Reliability Autonomous Management Systems for Spacecraft

1st Edition - August 22, 2023

Authors: Jianjun Zhang, Jing Li

Paperback ISBN:

9 7 8 - 0 - 4 4 3 - 1 3 2 8 3 - 4

eBook ISBN:

9 7 8 - 0 - 4 4 3 - 1 3 2 8 2 - 7

Approx.190… Read more

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Approx.190 pages

Cover image
Title page
Table of Contents
Copyright
Preface
Part I: Introduction
1. Spacecraft self-service management connotation
Abstract
1.1 Autonomous capability of spacecraft
1.2 The concept of spacecraft autonomous management
1.3 Aspects of autonomous management spacecraft
1.4 Core functions of autonomous management of spacecraft
References
2. Spacecraft systems
Abstract
2.1 Spacecraft concept
2.2 Basic principles of spacecraft flight
2.3 Aerospace engineering systems
2.4 Preliminary idea of the plan
References
Part II: Spacecraft autonomous health management
3. Spacecraft autonomous health management connotation
Abstract
3.1 The connotation of spacecraft health management
3.2 The concept of spacecraft autonomous health management
3.3 Functions of spacecraft autonomous health management
3.4 Unique functions of autonomous health management of manned spacecraft
3.5 Basic principles of spacecraft autonomous management system design
3.6 Traditional spacecraft health management technology
References
4. Applications of autonomous spacecraft health management
Abstract
4.1 Space shuttle
4.2 Autonomous health management system of Deep Space 1 probe
4.3 Earth observation-1
4.4 X-33
4.5 X-34
4.6 X-37
4.7 Summary
References
5. Artificial intelligence and health management
Abstract
5.1 Introduction to artificial intelligence and machine learning
5.2 Research on machine learning technology for spacecraft health management
5.3 Inspiration and suggestions
References
6. Conception of spacecraft autonomous health management system
Abstract
6.1 Concept and connotation
6.2 Demand analysis of autonomous health management of spacecraft system based on cognitive technology
6.3 Preliminary assumption of autonomous health management system based on cognitive technology for spacecraft system
6.4 Main technologies of autonomous health management design of spacecraft based on cognitive technology
References
Part III: Autonomous task management
7. Spacecraft autonomous mission planning connotation
Abstract
7.1 Mission planning techniques
7.2 Development requirements for spacecraft autonomous mission planning
7.3 Concept of spacecraft autonomous mission planning
7.4 Working mode of spacecraft autonomous mission planning
7.5 Key concerns of spacecraft autonomous mission planning
References
8. Typical applications of spacecraft autonomous mission planning system
Abstract
8.1 Typical applications of autonomous mission planning systems in the field of Earth observation abroad
8.2 Typical applications of autonomous mission planning systems in the field of foreign space defense
8.3 Typical applications of autonomous mission planning systems in foreign deep space exploration
8.4 Summary
References
9. Conception of spacecraft autonomous mission management system
Abstract
9.1 Design of spaceborne planning/scheduling system
9.2 Design of onboard autonomous planning system
9.3 Observation-judgment-decision-action theory
9.4 Key technologies for spacecraft autonomous mission planning
References
Part IV: Spacecraft autonomous data management
10. Spacecraft autonomous data management
Abstract
10.1 Concept of spatial data system
10.2 Ground system and main functions
10.3 Consultative committee on spatial data systems
10.4 Autonomous data management system
References
Index

Jianjun Zhang

Jianjun Zhang, PhD, is a Professor at the Beijing Institute of Spacecraft System Engineering, China Academy of Space Technology, Member of the Youth Science Club of China Electronics Society, Member of the Edge Computing Expert of China Electronics Society, Chairman of the "Space (Aerospace) Information Technology," Professional Committee of China Electronics Society, and Member of the Satellite Application Expert Group of China Aerospace Society. He mainly engaged in satellite navigation system design and advanced spatial information system technology based on cognitive mechanism. He has presided over several major projects such as the National Natural Science Foundation's major research project, the final assembly fund, the 863 project, and the development project of the Science and Technology Commission of the China Academy of Space Technology. He has published more than 50 SCI/EI research papers in international journals and conferences, authorized more than 20 invention patents at home and abroad, and published 3 monographs. He won third prize of the National Defense Science and Technology Progress Award.

Affiliations and expertise

Professor, China Academy of Space Technology, Beijing, China

Jing Li

Jing Li, Ph.D., is an Associate Professor at the School of Automation, Beijing Institute of Technology. Expert member of the “Space Information Technology” Youth Committee of China Electronics Society, the main research direction is robot environmental awareness, image detection and target tracking, multi-sensor information fusion. She has presided over more than 10 projects including the National Natural Science Youth Fund, the Postdoctoral Special Fund, the Key Laboratory of the Ministry of Education, and the Science and Technology Cooperation. She has published 25 academic papers (including 10 SCI papers and 15 EI papers) and the book "Image Detection and Object Tracking Technology", granted 7 national invention patents as the first author and the National Science and Technology Progress Award 2 (ranked 8th).

Affiliations and expertise

Associate Professor, Beijing Institute of Technology, China