High-Reliability Autonomous Management Systems for Spacecraft

Jianjun Zhang, Jing Li (Autoren)

Buch | Softcover

206 Seiten

2023
Elsevier - Health Sciences Division (Verlag)
978-0-443-13283-4 (ISBN)

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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 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.

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).

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

Erscheinungsdatum	03.08.2023
Verlagsort	Philadelphia
Sprache	englisch
Maße	152 x 229 mm
Gewicht	340 g
Themenwelt	Technik ► Fahrzeugbau / Schiffbau
Themenwelt	Technik ► Luft- / Raumfahrttechnik
ISBN-10	0-443-13283-6 / 0443132836
ISBN-13	978-0-443-13283-4 / 9780443132834
Zustand	Neuware