Spacecraft Attitude Control
A Linear Matrix Inequality Approach
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Spacecraft Attitude Control: A Linear Matrix Inequality Approach solves problemsfor spacecraft attitude control systems using convex optimization and, specifi cally,through a linear matrix inequality (LMI) approach. High-precision pointing and improvedrobustness in the face of external disturbances and other uncertainties are requirementsfor the current generation of spacecraft. This book presents an LMI approach to spacecraftattitude control and shows that all uncertainties in the maneuvering process can besolved numerically. It explains how a model-like state space can be developed through amathematical presentation of attitude control systems, allowing the controller in question tobe applied universally. The authors describe a wide variety of novel and robust controllers,applicable both to spacecraft attitude control and easily extendable to second-ordersystems. Spacecraft Attitude Control provides its readers with an accessible introductionto spacecraft attitude control and robust systems, giving an extensive survey of currentresearch and helping researchers improve robust control performance.
Key Features
- Considers the control requirements of modern spacecraft
- Presents rigid and flexible spacecraft control systems with inherent uncertainties mathematically, leading to a model-like state space
- Develops a variety of novel and robust controllers directly applicable to spacecraft control as well as extendable to other second-order systems
- Includes a systematic survey of recent research in spacecraft attitude control
Readership
Practicing professionals, undergraduate and graduate students in the field of spacecraft attitude control or control engineering and readers interested in the field of spacecraft attitude control or robust control systems
Table of Contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Preface
- Chapter 1. Introduction of basic knowledge
- Abstract
- 1.1 Linear matrix inequalities
- 1.2 Spacecraft attitude kinematics and dynamics
- References
- Chapter 2. State feedback nonfragile control
- Abstract
- 2.1 Introduction
- 2.2 Problem formulation
- 2.3 State feedback nonfragile control law
- 2.4 Simulation test
- 2.5 Conclusions
- References
- Chapter 3. Dynamic output feedback nonfragile control
- Abstract
- 3.1 Introduction
- 3.2 Problem formulation
- 3.3 Dynamic output feedback nonfragile control law design
- 3.4 Simulation test
- 3.5 Conclusions
- References
- Chapter 4. Observer-based fault tolerant delayed control
- Abstract
- 4.1 Introduction
- 4.2 Problem formulation
- 4.3 Observer-based fault tolerant control scheme
- 4.4 Simulation test
- 4.5 Conclusions
- References
- Chapter 5. Observer-based fault tolerant nonfragile control
- Abstract
- 5.1 Introduction
- 5.2 Problem formulation
- 5.3 Feasible solution for both cases
- 5.4 Simulation test
- 5.5 Conclusions
- References
- Chapter 6. Disturbance observer-based control with input MRCs
- Abstract
- 6.1 Introduction
- 6.2 Problem formulation
- 6.3 Controller design and analysis
- 6.4 Simulation test
- 6.5 Conclusions
- References
- Chapter 7. Improved mixed H2/H∞ control with poles assignment constraint
- Abstract
- 7.1 Introduction
- 7.2 Problem formulation
- 7.3 Improved mixed H2/H∞ control law
- 7.4 Simulation test
- 7.5 Conclusions
- References
- Chapter 8. Nonfragile H∞ control with input constraints
- Abstract
- 8.1 Introduction
- 8.2 Problem formulation
- 8.3 Nonfragile H∞ control law
- 8.4 Simulation test
- 8.5 Conclusions
- References
- Chapter 9. Antidisturbance control with active vibration suppression
- Abstract
- 9.1 Introduction
- 9.2 Problem formulation
- 9.3 Antidisturbance control law with input magnitude, and rate constraints
- 9.4 Simulation test
- 9.5 Conclusions
- References
- Chapter 10. Chaotic attitude tracking control
- Abstract
- 10.1 Introduction
- 10.2 Problem formulation
- 10.3 Adaptive variable structure control law
- 10.4 Simulation test
- 10.5 Conclusions
- References
- Chapter 11. Underactuated chaotic attitude stabilization control
- Abstract
- 11.1 Introduction
- 11.2 Problem formulation
- 11.3 Sliding mode control law
- 11.4 Simulation test
- 11.5 Conclusions
- References
- Index
Product details
- No. of pages: 384
- Language: English
- Copyright: © Elsevier 2022
- Published: January 31, 2022
- Imprint: Elsevier
- Paperback ISBN: 9780323990059
- eBook ISBN: 9780323990066
About the Authors
Chuang Liu
Chuang Liu is an Associate Professor at Northwestern Polytechnical University, China. He is also Scientific Committee Member of Aeromeet 2022. He received the COSPAR Outstanding Paper Award for Young Scientists in 2020. His research focuses on aerospace engineering.
Affiliations and Expertise
Associate Professor, Northwestern Polytechnical University, China
Xiaokui Yue
Xiaokui Yue is a Professor at Northwestern Technical University, China. His research has focused on the frontiers of space exploration and on computational methods for nonlinear dynamical systems.
Affiliations and Expertise
Professor, Northwestern Technical University, China
Keke Shi
Keke Shi is a Research Assistant at the Harbin Institute of Technology, China. His research is focused on overall spacecraft design and dynamics control.
Affiliations and Expertise
Research Assistant, Harbin Institute of Technology, China
Zhaowei Sun
Zhaowei Sun is a Professor at the Harbin Institute of Technology, China. His research focuses on overall spacecraft dynamics and control.
Affiliations and Expertise
Professor, Harbin Institute of Technology, China