Spacecraft Attitude Control: A Linear Matrix Inequality Approach solves problems for spacecraft attitude control systems using convex optimization, and more specifically, through a linear matrix inequalities approach (LMI). High-precision pointing and improved robustness in the face of external disturbances and other uncertainties are requirements for the current generation of spacecraft. The title develops an LMI approach to spacecraft attitude control and shows that all uncertainties in the maneuvering process can be solved numerically. The book develops a wide variety of novel and robust controllers, applicable both to spacecraft attitude control and easily extendible to second-order systems.
This title introduces spacecraft attitude control and robust systems, giving an extensive survey of current research and helping researchers improve robust control performance.
- Considers the control requirements of modern spacecraft
- Presents rigid and flexible spacecraft control systems with inherent mathematic uncertainties that lead to a model-like state-space
- Develops a variety of novel and robust controllers directly applicable to spacecraft control and extendable to other second-order systems
- Includes a systematic survey of recent research in spacecraft attitude control
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.
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.
Keke Shi is a Research Assistant at the Harbin Institute of Technology, China. His research is focused on overall spacecraft design and dynamics control.
Zhaowei Sun is a Professor at the Harbin Institute of Technology, China. His research focuses on overall spacecraft dynamics and control.