Elsevier Spacecraft Attitude Control: A Linear Matrix Inequality Approach

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. Review Presents solutions to spacecraft attitude control systems using a linear matrix inequality (LMI) approach From the Back Cover The attitude maneuvering process for spacecraft involves uncertainties for both rigid and flexible spacecraft, leading to chaotic motion. Analytic solutions to these problems do exist, but in all cases they can be solved through numerical methods. Specifically, uncertainties in controllers can be reduced through a linear matrix inequalities (LMI) approach. <i>Spacecraft Attitude Control</i> presents solutions to spacecraft attitude control systems using an LNI approach. The book shows that a variety of problems can be reduced by a small number of quasiconvex or standard convex optimization problems that involve LMIs. <i>Spacecraft Attitude Control</i> solves problems for spacecraft attitude control systems using convex optimization, and specifically, through a linear matrix inequality 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. Through a mathematical presentation of attitude control systems, a model-like state-space can be developed, allowing the controller in question to be applied universally. 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. About the Author 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.