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High-Reliability Autonomous Management Systems for Spacecraft
- 1st Edition - August 1, 2023
- Authors: Jianjun Zhang, Jing Li
- Language: English
- 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
This book examines the autonomous management of spacecraft, which uses modern control technologies such as artificial intelligence to establish a remote intelligent body on the sp… Read more
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Request a sales quoteThis book examines the autonomous management of spacecraft, which uses modern control technologies such as artificial intelligence to establish a remote intelligent body on the spacecraft so that the spacecraft can complete its flight tasks by itself. Its goal is to accurately perceive its own state and external environment without relying on external information injection and control, or rely on external control as little as possible, make various appropriate decisions based on this information and user tasks, and be able to autonomously control spacecraft to complete various tasks.
- Divides the autonomous management level of spacecraft into two levels: - Basic autonomy to meet spacecraft health requirements, namely, autonomous health management, and autonomy of the advanced stage.
- Divides the implementation of spacecraft autonomous management into three aspects: - Autonomous health management of spacecraft – the spacecraft can monitor and sense its own state and can autonomously detect, isolate, and recover from faults. - Autonomous mission management – the spacecraft can directly receive the mission, formulate a reasonable plan according to the current state and working environment of the spacecraft, and convert the mission into a specific sequence of instructions. - Spacecraft autonomous data management – the spacecraft processes a large amount of raw data and extracts useful information and autonomously executes or changes flight tasks.
- The autonomous management model of the spacecraft is divided into two points: - Compatibility – the existing traditional control systems belong to the execution layer logic and are compatible with the existing systems. - Scalability – it adopts a layered structure, and each layer has different autonomous capabilities.
Aerospace departments, and scientific research institutions such as universities and research institutes conduct research on autonomous and other technologies, including college students and graduate students, Aerospace libraries
- 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
- No. of pages: 206
- Language: English
- Edition: 1
- Published: August 1, 2023
- Imprint: Elsevier
- Paperback ISBN: 9780443132834
- eBook ISBN: 9780443132827
JZ
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, ChinaJL
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, ChinaRead High-Reliability Autonomous Management Systems for Spacecraft on ScienceDirect