Spacecraft Dynamics and Control
The Embedded Model Control Approach
- 2nd Edition - April 1, 2027
- Latest edition
- Authors: Enrico Canuto, Carlo Novara, Luca Massotti, Michele Pagone, Carlos Perez-Montenegro
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 4 4 2 1 3 - 1
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 4 4 2 1 4 - 8
Spacecraft Dynamics and Control, 2nd Edition introduces a more refined approach to handling uncertainty and disturbance patterns, enhancing the precision and adaptability of… Read more
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Spacecraft Dynamics and Control, 2nd Edition introduces a more refined approach to handling uncertainty 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 technologies, including laser interferometer metrology and micro-propulsion systems, both of which are new to this edition. Drawing inspiration from the European GOCE mission and some specific control challenges it encountered, advanced application examples are featured alongside numerical exercises and simulations designed around the mission state predictor, which enables more precise navigation and attitude control under varying, unstable conditions. Additionally, a dedicated chapter covers the complex drag-free and attitude control of next-generation satellite constellations aimed at Earth’s gravity field mapping and gravitational wave detection. The exploration concludes with a focus on state-space dynamics and EMC, providing a well-rounded guide for tackling real-world space engineering problems.
Researchers both in academia and industry, students in advanced programs, and a host of other technical audiences at all levels will find this volume to be a resource of critical significance to understand the intricacies of applying control theory to spacecraft motion dynamics and develop optimized solutions for stability, handling, and responsiveness in cutting-edge space exploration efforts.
- Treats the fundamentals of orbit, attitude, and environment dynamics, emphasizing state-space formulation, disturbance dynamics, state feedback and prediction, and closed-loop stability.
- Covers 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 application exemplification.
- Simulated results and their graphical plots are generated using MATLAB/Simulink code.
Advanced undergraduate and postgraduate students, academics, and researchers in aerospace engineering; control systems engineering; mechanical engineering; astrophysics and space exploration science; applied mathematics. Aerospace engineering practitioners and R&D professionals, who require a solid understanding of dynamic systems and embedded model control; aerospace companies involved in spacecraft or satellite design, mission planning, and operations; technology developers working on sensors and actuators for orbital and attitude control systems.
1. Introduction
2. Attitude Geometry and Representation
3. Geometric Attitude Determination
4. Orbit and Formation Dynamics
5. The Environment: Perturbing Forces and Torques
6. Attitude Kinematics: Modeling and Feedback
7. Attitude Dynamics: Modeling and Control
8. Orbit and Attitude Sensors
9. Orbit and Attitude Actuators
10. Orbital Control and Prediction Problems
11. Attitude Control: the GOCE Mission Case Study
12. Drag-free and Attitude Control: Next-Generation Gravity Missions
13. Drag-free and Attitude Control: Gravitational Wave Missions
14. Introduction to Embedded Model Control
2. Attitude Geometry and Representation
3. Geometric Attitude Determination
4. Orbit and Formation Dynamics
5. The Environment: Perturbing Forces and Torques
6. Attitude Kinematics: Modeling and Feedback
7. Attitude Dynamics: Modeling and Control
8. Orbit and Attitude Sensors
9. Orbit and Attitude Actuators
10. Orbital Control and Prediction Problems
11. Attitude Control: the GOCE Mission Case Study
12. Drag-free and Attitude Control: Next-Generation Gravity Missions
13. Drag-free and Attitude Control: Gravitational Wave Missions
14. Introduction to Embedded Model Control
- Edition: 2
- Latest edition
- Published: April 1, 2027
- Language: English
EC
Enrico Canuto
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.
Affiliations and expertise
Former Faculty, Department of Control and Computer Engineering, Politecnico di Torino, Turin, ItalyCN
Carlo Novara
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.
Affiliations and expertise
Full Professor, Department of Electronics and Telecommunications, Politecnico di Torino, Turin, ItalyLM
Luca Massotti
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.
Affiliations and expertise
EO/NGGM System Engineer, Future Missions and Instruments Division, Earth Observation Programmes Directorate, ESA – ESTEC (European Space Research and Technology Centre), Noordwijk aan Zee, The NetherlandsMP
Michele Pagone
Michele Pagone received his BSc and MSc degrees in Aerospace/Astronautical Engineering and his PhD in Electrical, Electronics, and Communications Engineering from Politecnico di Torino, in 2014, 2016, and 2022 respectively. He has authored about 20 peer-reviewed scientific publications in international journals and conference proceedings. He has been involved in several national and international projects in collaboration with Italian and European companies, including the European Space Agency and Thales Alena Space Italy. He is a member of the IEEE Control System Society. His research interests include nonlinear systems, nonlinear and robust model predictive control, game theory, optimization, system stability with applications to space flight mechanics, orbit and attitude control systems, automotive and energy fields.
Affiliations and expertise
Assistant Professor, Department of Electronics and Telecommunications, Politecnico di Torino, Turin, ItalyCP
Carlos Perez-Montenegro
Carlos Perez-Montenegro received his MSc degree in Electronic Engineering from Pontificia Universidad Javeriana in 2007, followed in 2014 by a PhD in Computer and Control Engineering from the Department of Control and Computer Engineering of Politecnico di Torino. His research interests span the fields of guidance, navigation, and control (GNC), with a focus on applications to planetary landing systems and unmanned aerial systems. Currently, he is designing and implementing control and estimation systems for service instruments of the automotive industry.
Affiliations and expertise
Senior Mathematical & Firmware Engineer, Vehicle Service Group Italy, Trana, Turin, Italy