Spacecraft Attitude Control

A Linear Matrix Inequality Approach

1st Edition - January 31, 2022
Authors: Chuang Liu, Xiaokui Yue, Keke Shi, Zhaowei Sun
Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 9 9 0 0 5 - 9
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 9 9 0 0 6 - 6

Spacecraft Attitude Control: A Linear Matrix Inequality Approach solves problemsfor spacecraft attitude control systems using convex optimization and, specifi cally,through… Read more

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Spacecraft Attitude Control: A Linear Matrix Inequality Approach solves problems
for spacecraft attitude control systems using convex optimization and, specifi cally,
through a linear matrix inequality (LMI) approach. High-precision pointing and improved
robustness in the face of external disturbances and other uncertainties are requirements
for the current generation of spacecraft. This book presents an LMI approach to spacecraft
attitude control and shows that all uncertainties in the maneuvering process can be
solved numerically. It explains how a model-like state space can be developed through a
mathematical presentation of attitude control systems, allowing the controller in question to
be applied universally. The authors describe a wide variety of novel and robust controllers,
applicable both to spacecraft attitude control and easily extendable to second-order
systems. Spacecraft Attitude Control provides its readers with an accessible introduction
to spacecraft attitude control and robust systems, giving an extensive survey of current
research and helping researchers improve robust control performance.

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

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Chuang Liu

Xiaokui Yue

Keke Shi

Zhaowei Sun