Spacecraft Dynamics and Control: The Embedded Model Control Approach, Edition 2

· · · ·
· Butterworth-Heinemann
Ebook
900
Pages
Eligible
This book will become available on April 1, 2027. You will not be charged until it is released.

About this ebook

This new edition of Spacecraft Dynamics and Control introduces a more refined approach to handling system uncertainty, complexity and disturbance patterns, enhancing the precision and adaptability of control systems in unpredictable space environments by fully leveraging the Embedded Model Control (EMC) methodology. Updated throughout, the book begins with an extensive introduction to attitude geometry and algebra, establishing a strong foundation for the complex control systems discussed in later chapters. It examines the integration of innovative instrument and actuator technologies, including laser interferometer metrology and micro-propulsion subsystems, the former being new to this edition. Drawing inspiration from past and forthcoming drag-free European missions and the control challenges they encounter, advanced application examples are featured alongside numerical exercises and simulations, all designed around the mission state predictor, which enables precise drag-free and attitude control of multibody systems under varying, unstable conditions. Three dedicated chapters cover the complex drag-free and attitude control of the successful and flawless GOCE mission and of the next-generation satellite constellations aimed at Earth's gravity field mapping (NGGM) and gravitational wave detection (LISA). Architecture and design of the case studies entirely rely on the EMC methodology, whose uncertainty-based design is summarized and exemplified in the chapter that anticipates the case studies. The edition aims to provide a well-rounded guide for tackling real-world space engineering problems. - Covers the fundamentals of orbit, attitude, and space environment dynamics, emphasizing the state-space formulation of multibody systems, state and disturbance prediction, state feedback and disturbance rejection, and overall closed-loop stability - Discusses sensors and actuators, focusing on their dynamics and the modeling of measurement errors - Includes solved and unsolved exercises within the text to enhance understanding, facilitate training, and provide hands-on applications - Case studies include the gravimetry mission GOCE (Gravity field and ocean circulation explorer) as in the first edition, and the forthcoming interferometric constellations, NGGM (Next generation gravity mission), and LISA (Laser interferometer space antenna)
This new edition of Spacecraft Dynamics and Control introduces a more refined approach to handling system uncertainty, complexity and disturbance patterns, enhancing the precision and adaptability of control systems in unpredictable space environments by fully leveraging the Embedded Model Contro...

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About the author

Enrico Canuto taught Automatic Control for more than 40 years at Politecnico di Torino, Italy. He developed and applied the embedded model control methodology for the design and implementation of digital control systems. Over the course of his career, he has contributed to data reduction of the European astrometric mission Hipparcos, concluding with the publication of the Hipparcos star Catalogue of 120,000 stars; to the European GOCE mission and other forthcoming missions; to instruments for space qualification like the Nanobalance thrust-stand. In the last ten years, he has also collaborated with the Center for Gravity Experiments, Huazhong University of Science and Technology, Wuhan, and the Tianqin Centre, Sun-Yat-Sen University, Zhuhai, China, in the field of scientific space missions aimed at detecting gravitational waves.Carlo Novara received his MSc degree in Physics from the University of Turin in 1996 and his PhD degree in Computer and System Engineering from Politecnico di Torino in 2002. He held a visiting researcher position at University of California at Berkeley in 2001 and 2004 and is currently a Full Professor at Politecnico di Torino. He is a really prolific author of peer-reviewed scientific publications in international journals and conference proceedings. He has been involved in several national and international projects and in several research contracts in collaboration with Italian and European companies. He is the co-author of several patents in the automotive field. He is a member of the IEEE Technical Committee on System Identification and Adaptive Control, of the IFAC Technical Committee on Modelling, Identification and Signal Processing, of the IFAC Technical Committee on Modelling and Control of Environmental Systems, and a founding member of the IEEE-CSS Technical Committee on Medical and Healthcare Systems. His research interests include nonlinear and linear parameter-varying system identification, filtering/estimation, time series prediction, nonlinear control, predictive control, data-driven methods, set membership methods, sparse methods, nonlinear optimization, and aerospace, automotive, biomedical, and energy applications.Luca Massotti received his MSc and PhD degrees in Aerospace Engineering from Politecnico di Torino in 2000 and 2004 respectively. In 2001-2002, he was a visiting researcher at West Virginia University to study aircraft modelling and neural network controllers. In 2004, he joined Thales Alenia Space in Turin as an engineering consultant for metrology and AOCS. From 2005 to 2007, he was a post-doctoral researcher within the Earth Observation Programs of the European Space Agency at the ESTEC facility in the Netherlands, where he currently works as a system engineer for the Future Missions and Instruments division. He is actively involved in the ESA Technology Research Program, either in procurement of activities or the review phases, especially in the domain of micro-propulsion (either cold gas or electric propulsion), laser metrology, ultra-sensitive accelerometers, drag-free/compensation and fine AOCS. His research interests include aircraft and satellite modeling and simulation, nonlinear and adaptive control design, artificial intelligence techniques, nano-balancing, AOCS, drag-free and attitude control for scientific satellites. Dr. Massotti has been appointed as coordinator of the Inter-Agency Working Group between ESA and NASA on gravity topics; he is a member of the ESA/NASA JET (Joint Engineering Team) and a Member of the AIAA GNC Technical Committee, and an AIAA Associate Fellow.
Enrico Canuto taught Automatic Control for more than 40 years at Politecnico di Torino, Italy. He developed and applied the embedded model control methodology for the design and implementation of digital control systems. Over the course of his career, he has contributed to data reduction of the E...

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