High-Reliability Autonomous Management Systems for Spacecraft updates on research on three levels of self-management, including: 1) Autonomous health management of spacecraft that covers how spacecraft can monitor their own state and autonomously detect, isolate and recover from faults; 2) Autonomous mission management of spacecraft where 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; 3) Spacecraft autonomous data management where the spacecraft processes a large amount of raw data and extracts useful information, and autonomously executes or changes flights.
The autonomous management of spacecraft 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.
- Divides the autonomous management level of spacecraft into two levels, autonomy and execution
- Covers the implementation of spacecraft autonomous management into three aspects, including autonomous health management of the spacecraft, mission management, and converting the mission into a specific sequence of instructions
- Discusses how these processes can take a large amount of raw data and extract useful information
- Covers the autonomous management model of the spacecraft, including compatibility
Part 1 Introduction
1. Spacecraft Self-Service Management Connotation
2. Spacecraft Systems
Part II Spacecraft Autonomous Health Management
3. Spacecraft Autonomous Health Management Connotation
4. Application Examples of Spacecraft Autonomous Health Management
5. Artificial Intelligence and Health Management
6. Conception of Spacecraft Autonomous Health Management System
Part III Autonomous task management
7. Spacecraft Autonomous Mission Planning Connotation
8. Typical Applications of Spacecraft Autonomous Mission Planning System
9. Conception of Spacecraft Autonomous Mission Management System
Part IV Spacecraft Autonomous Data Management
10. Spacecraft Autonomous Data Management
Dr Jianjun Zhang is a Professor at the China Academy of Space Technology. He is member of the Edge Computing Expert of the 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 is mainly engaged in research on satellite navigation system design, advanced spatial information system technology based on cognitive mechanism
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).
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