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High-Reliability Autonomous Management Systems for Spacecraft - Tapa blanda

Zhang; Li

 
9780443132834: High-Reliability Autonomous Management Systems for Spacecraft
Tapa blanda
ISBN 10: 0443132836 ISBN 13: 9780443132834
Editorial: Elsevier, 2023

Sinopsis

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.

  • 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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca de los autores

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).

De la contraportada

The autonomous management of spacecraft is to use 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. High-Reliability Autonomous Management Systems for Spacecraft conducts research on three levels of self-management, including: 1) Autonomous health management of spacecraft means that the spacecraft can monitor and sense its own state, and can autonomously detect, isolate and recover from faults; 2) Autonomous mission management of spacecraft means that 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 means that the spacecraft processes a large amount of raw data and extracts useful information, and autonomously executes or changes flight tasks according to the processing situation.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Elsevier
Año de publicación
2023
Idioma
Inglés
ISBN 10 
0443132836
ISBN 13 
9780443132834
Encuadernación
Tapa blanda
Número de páginas
206
Contacto del fabricante
no disponible
Persona responsable
Barbara Criscuolo
b.criscuolo@lswr.it

Via Spadolini, 7
Milano
20141
Italia