Spacecraft Control with Temporal and Spatial Constraints
Elsevier (Publisher)
Will be published approx. on 1. January 2027
Book
Paperback/Softback
350 pages
978-0-443-33257-9 (ISBN)
Description
Spacecraft Control with Temporal and Spatial Constraints is a comprehensive review of spacecraft dynamics modeling, the characterization of temporal and spatial constraints, and advanced control design and analysis methodologies for attitude and orbit control systems (AOCS) under complex conditions. It addresses challenges arising from parameter uncertainties, external disturbances, and actuator faults; it serves as a valuable guide for researchers and aerospace engineers tackling theoretical and technical difficulties in space applications. The book covers a broad spectrum of topics, from 3DOF attitude or orbital motions to 6DOF proximity operations, offering abundant control design strategies tailored to temporal and/or spatial constraints for typical aerospace applications. The book is intended for technical and engineering professionals engaged in spacecraft dynamics and control, providing both theory and practical/innovative approaches to enhance mission success in complex space environments
More details
Language
English
Place of publication
Philadelphia
United States
Target group
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 229 mm
Width: 152 mm
Weight
449 gr
ISBN-13
978-0-443-33257-9 (9780443332579)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
Dr. Shao received the the B.Eng. degree in automation and the M.Eng. degree in pattern recognition and intelligent systems from Northeast Forestry University, Harbin, China, in 2012 and 2015, respectively, and the Ph.D. degree in navigation, guidance, and control from the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China, in 2020.
He is currently an Associate Professor at the School of Automation Science and Electrical Engineering, Beihang University, Beijng, China. His current research interests include intelligent perception and manipulation, adaptive and learning control, fault diagnosis and fault-tolerant control, and their applications in aerospace systems Qinglei Hu is a Professor in the School of Automation Science and Electrical Engineering, at Beihang University, China. He has made fundamental contributions to spacecraft control systems and mechatronics, and pioneered the application of fault tolerant attitude control algorithms in spacecraft, unmanned aerial vehicles, and missiles. He has published over 150 papers. Dr. Zhu is a Professor and Research Chair in Space Robotics and Artificial Intelligence in the Department of Mechanical Engineering at York University in Toronto, Canada. He is also the founding Director of the Manufacturing Technology Entrepreneurship Centre and the Space Engineering Lad at the same institution.
From 2019 to 2022, he served as the inaugural Academic Director of the Research Commons in the Vice-President of Research and Innovation Office and was the Chair of the Department of Mechanical Engineering from 2018 to 2019.
His research includes dynamics and control of tethered spacecraft, autonomous space robotics, visual servo, computational control, CubeSat, and additive manufacturing in space
He is currently an Associate Professor at the School of Automation Science and Electrical Engineering, Beihang University, Beijng, China. His current research interests include intelligent perception and manipulation, adaptive and learning control, fault diagnosis and fault-tolerant control, and their applications in aerospace systems Qinglei Hu is a Professor in the School of Automation Science and Electrical Engineering, at Beihang University, China. He has made fundamental contributions to spacecraft control systems and mechatronics, and pioneered the application of fault tolerant attitude control algorithms in spacecraft, unmanned aerial vehicles, and missiles. He has published over 150 papers. Dr. Zhu is a Professor and Research Chair in Space Robotics and Artificial Intelligence in the Department of Mechanical Engineering at York University in Toronto, Canada. He is also the founding Director of the Manufacturing Technology Entrepreneurship Centre and the Space Engineering Lad at the same institution.
From 2019 to 2022, he served as the inaugural Academic Director of the Research Commons in the Vice-President of Research and Innovation Office and was the Chair of the Department of Mechanical Engineering from 2018 to 2019.
His research includes dynamics and control of tethered spacecraft, autonomous space robotics, visual servo, computational control, CubeSat, and additive manufacturing in space
Author
Associate Professor, School of Automation Science and Electrical Engineering, Beihang University, Beijng, China
Professor, School of Automation Science and Electrical Engineering, Beihang University, China
York University, UK
Content
1. Introduction and literature review
2. Spacecraft dynamics and preliminaries
3. Prescribed-time prescribed-performance attitude tracking control
4. Fault-tolerant boresight control with spatio-temporal constraints
5. DOB-based boresight control with spatio-temporal constraints
6. Attitude planning and control of underactuated spacecraft with pointing constraints
7. Adaptive proximity control with collision and occlusion constraints
8. Prescribed-time proximity control with collision and occlusion avoidance
9. Adaptive pose control for spacecraft proximity operations with spatio-temporal constraints
10. Conclusions
2. Spacecraft dynamics and preliminaries
3. Prescribed-time prescribed-performance attitude tracking control
4. Fault-tolerant boresight control with spatio-temporal constraints
5. DOB-based boresight control with spatio-temporal constraints
6. Attitude planning and control of underactuated spacecraft with pointing constraints
7. Adaptive proximity control with collision and occlusion constraints
8. Prescribed-time proximity control with collision and occlusion avoidance
9. Adaptive pose control for spacecraft proximity operations with spatio-temporal constraints
10. Conclusions