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This book discusses spacecraft modeling, attitude determination, estimation, and controls. A background on rotation sequence and reference frames is provided, followed by the discussion of the attitude determination using vector measurements, and control designs independent of actuators in use.
List of contents
Preface. Introduction. Orbit Dynamics and Properties. Rotational Sequences and Quaternion. Spacecraft Dynamics and Modeling. Space Environment and Disturbance Torques. Spacecraft Attitude Determination. Astronomical Vector Measurements. Spacecraft Attitude Estimation. Spacecraft Attitude Control. Spacecraft Actuators. Spacecraft Control Using Magnetic Torques. Attitude Maneuver and Orbit-Raising. Attitude MPC Control. Spacecraft Control Using CMG. Spacecraft Rendezvous and Docking. Modeling and Attitude Control of Multi-Body Space Systems. Appendix A. First Order Optimality Conditions. Appendix B. Optimal Control. Appendix C. Robust Pole Assignment. References. Index.
About the author
Yaguang Yang holds B.S. (1982) and M.S. (1985) degrees from Huazhong University of Science and Technology, China. From 1985 to 1990, he was a lecturer at Zhejiang University in China. In 1996 he received a PhD degree from the Department of Electrical and Computer Engineering at the University of Maryland, College Park, Maryland, USA. Since then, he has designed and implemented control systems at UKIRT, CIENA, ITT, and Orbital Sciences Corporation; he has performed theoretical and applied research and published more than 50 papers in controls and optimizations, developed and implemented algorithms in computer codes, and applied to engineering problems, and he has managed nuclear power plant instrument and control research projects at US NRC. He is currently a system engineer with the Goddard Space Flight Center, NASA, where he has worked on several space projects, including The Laser Interferometer Space Antenna (LISA), Enceladus Life Signatures and Habitability (ELSAH), The Large UV/Optical/IR Surveyor (LUVOIR), and is the Principal Investigator (PI) of an applied research project (Model-based optimal engineering design and its application to the advanced trajectory design problem).
