High-Reliability Autonomous Management Systems for Spacecraft
- 1st Edition - August 22, 2023
- Imprint: Elsevier
- 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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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.
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
Part 1 Introduction
1 Spacecraft Self-Service Management Connotation
1.1 Autonomous capability of spacecraft
1.2 The concept of spacecraft autonomous management
1.3 Aspects of autonomous management of spacecraft
1.3.1 Autonomous health management
1.3.2 Autonomous task management
1.3.3 Autonomous Data Management
1.4 Core functions of autonomous management of spacecraft
References
2 Spacecraft Systems
2.1 Spacecraft concept
2.1.1 Classification of spacecraft
2.1.2 Composition of the spacecraft
2.2 Basic principles of spacecraft flight
2.2.1 The first cosmic velocity
2.2.2 The second cosmic velocity
2.2.3 The third cosmic velocity
2.4 Preliminary idea of the plan
2.4.1 Preliminary selection of spacecraft mission orbits
2.4.2 Preliminary assumption of payload
2.4.3 Preliminary assumption of platform subsystem
References
Part II Spacecraft Autonomous Health Management
3 Spacecraft Autonomous Health Management Connotation
3.1 The connotation of spacecraft health management
3.1.1 Spacecraft fault
3.1.2 The connotation of spacecraft management
3.1.3 Understanding of spacecraft health
3.1.4 Definition of spacecraft health management
3.1.5 Behavior of spacecraft health management
3.2 The concept of spacecraft autonomous health management
3.2.1 Definition of spacecraft autonomous health management
3.2.2 Stages 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
3.6.1 Anomaly detection based on manual monitoring and thresholds
3.6.2 Model-based fault diagnosis
3.6.3 Fault diagnosis based on data analysis
3.6.4 Fault prediction and health assessment
3.6.5 Comparative analysis of advantages and disadvantages of health management technology
References
4 Application Examples of Spacecraft Autonomous Health Management
4.1 Space Shuttle
4.1.1 Flight Mission
4.1.2 Ground test
4.2 Autonomous Health Management System of "Deep Space 1" Probe
4.2.1 Autonomous Health Management System
4.2.2 Features of DS1 autonomous health management system
4.3 Earth Observation-1
4.3.1 Flight Mission
4.3.2 ASE test
4.4 X-33
4.4.1 Flight Mission
4.4.2 Aircraft health management system
4.5 X-34
4.5.1 Flight missions
4.5.2 Propulsion System Health Management Technology Experiment
4.6 X-37
4.6.1 Flight missions
4.6.2 Aircraft integrated health management test
4.7 Summary
References
5 Artificial Intelligence and Health Management
5.1 Introduction to Artificial Intelligence and Machine Learning
5.1.1 Artificial Intelligence
5.1.2 Machine Learning
5.2 Research on Machine Learning Technology for Spacecraft Health Management
5.2.1 Cluster Analysis
5.2.2 Rough Sets
5.2.3 Support Vector Machines
5.2.4 Bayesian algorithm
5.2.5 Time Series Models
5.2.6 Artificial Neural Network
5.2.7 Deep Learning
5.2.8 Swarm Intelligence
5.2.9 Integrated Learning
5.2.10 Summary
5.3 Inspirations and Suggestions
5.3.1 Inspiration
5.3.2 Application Recommendations
References
6 Conception of Spacecraft Autonomous Health Management System
6.1 Concept and connotation
6.1.1 Cognition
6.1.2 Autonomous Health Management of Spacecraft Based on Cognitive Technology
6.1.3 The difference between spacecraft autonomous health management based on cognitive technology and spacecraft adaptive fault diagnosis and prediction
6.2 Demand analysis of autonomous health management of spacecraft system based on cognitive technology
6.2.1 Overall requirements of spacecraft systems for autonomous health management based on cognitive technology
6.2.2 The requirements of each subsystem of spacecraft for autonomous health management based on cognitive technology
6.3 Preliminary assumption of autonomous health management system based on cognitive technology for spacecraft system
6.3.1 Analysis of main tasks of autonomous health management of spacecraft based on cognitive technology
6.3.2 Overall scheme of spacecraft autonomous health management system based on cognitive technology
6.4 Main technologies of autonomous health management design of spacecraft based on cognitive technology
6.4.1 Spacecraft fault detection technology
6.4.2 Identification technology of spacecraft fault perception information
6.4.3 Spacecraft fault fusion technology
6.4.4 Cognitive technology for spacecraft fault decision
References
Part III Autonomous task management
7 Spacecraft Autonomous Mission Planning Connotation
7.1 Mission panning techniques
7.1.1 Mission planning definition
7.1.2 Mission planning major developments
7.2 Development requirements for spacecraft autonomous mission planning
7.2.1 Traditional spacecraft task management mode
7.2.2 Demand analysis of traditional spacecraft mission management
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 needs
7.5.1 Comprehensive study and judgment of spacecraft autonomous mission planning system
7.5.2 Key concerns of spacecraft autonomous mission planning system
References
8 Typical Applications of Spacecraft Autonomous Mission Planning System
8.1 Typical applications of autonomous mission planning systems in the field of Earth observation abroad
8.1.1 Single-satellite autonomous mission planning
8.1.2 Onboard environment autonomous perception and mission dynamic planning
8.1.3 Multi-satellite formation network and distributed operation
8.1.4 Terminal control of spacecraft
8.2 Typical applications of autonomous mission planning systems in the field of foreign space defense
8.2.1 ANGELS satellites
8.2.2 Multiple warhead anti-satellite weapons
8.2.3 Task "German Service"
8.2.4 Space Clearing - 1
8.2.5 Rail express program
8.2.6 Experimental satellite system
8.2.7 Autonomous rendezvous technology demonstration satellite program
8.2.8 Japanese self-service technology
8.3 Typical applications of autonomous mission planning systems in foreign deep space exploration
8.3.1 Deep Space1
8.3.2 Mars Rover
8.3.3 Rosetta
8.4 Summary
References
9 Conception of Spacecraft Autonomous Mission Management System
9.1 Design of spaceborne planning/scheduling system
9.1.1 Overview of the planning system
9.1.2 Task planning method of batch processing
9.1.3 Problems
9.2 Design of onboard autonomous planning aystem
9.2.1 Overview of the planning system
9.2.2 Architecture of the planning system
9.2.3 Rolling planning method
9.2.4 Constellation autonomous planning
9.3 OODA theory
9.3.1 OODA Concept
9.3.2 OODA Cycle Development
9.3.3 Preliminary assumption of OODA-based aircraft mission planning
9.4 Key Technologies for spacecraft autonomous mission planning
9.4.1 Modeling the autonomous mission planning problem
9.4.2 Orbital maneuvering mission planning method
9.4.3 Spacecraft motion planning method
9.4.4 Summary
References
Part IV Spacecraft Autonomous Data Management
10 Spacecraft Autonomous Data Management
10.1 Concept of spatial data system
10.2 Ground system and main functions
10.2.1 Space mission operations
10.2.2 Spatial information management
10.3 Advisory Committee on Spatial Data Systems
10.3.1 Reference Architecture for Spatial Data Systems
10.3.2 Space communication protocol of space data system
10.4 Autonomous data management system
10.4.1 Data receiver preprocessing module
10.4.2 Multi-satellite data integrated management
References
- Edition: 1
- Published: August 22, 2023
- Imprint: Elsevier
- Language: English
JZ
Jianjun Zhang
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
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