Carlo Novara – författare

Spacecraft Dynamics and Control: The Embedded Model Control Approach provides a uniform and systematic way of approaching space engineering control problems from the standpoint of model-based control, using state-space equations as the key paradigm for simulation, design and implementation.

The book introduces the Embedded Model Control methodology for the design and implementation of attitude and orbit control systems. The logic architecture is organized around the embedded model of the spacecraft and its surrounding environment. The model is compelled to include disturbance dynamics as a repository of the uncertainty that the control law must reject to meet attitude and orbit requirements within the uncertainty class. The source of the real-time uncertainty estimation/prediction is the model error signal, as it encodes the residual discrepancies between spacecraft measurements and model output. The embedded model and the uncertainty estimation feedback (noise estimator in the book) constitute the state predictor feeding the control law. Asymptotic pole placement (exploiting the asymptotes of closed-loop transfer functions) is the way to design and tune feedback loops around the embedded model (state predictor, control law, reference generator). The design versus the uncertainty class is driven by analytic stability and performance inequalities. The method is applied to several attitude and orbit control problems.

The book begins with an extensive introduction to attitude geometry and algebra and ends with the core themes: state-space dynamics and Embedded Model Control Fundamentals of orbit, attitude and environment dynamics are treated giving emphasis to state-space formulation, disturbance dynamics, state feedback and prediction, closed-loop stability Sensors and actuators are treated giving emphasis to their dynamics and modelling of measurement errors. Numerical tables are included and their data employed for numerical simulations Orbit and attitude control problems of the European GOCE mission are the inspiration of numerical exercises and simulations The suite of the attitude control modes of a GOCE-like mission is designed and simulated around the so-called mission state predictor Solved and unsolved exercises are included within the text - and not separated at the end of chapters - for better understanding, training and application Simulated results and their graphical plots are developed through MATLAB/Simulink code

Spacecraft Dynamics and Control: The Embedded Model Control Approach provides a uniform and systematic way of approaching space engineering control problems from the standpoint of model-based control, using state-space equations as the key paradigm for simulation, design and implementation.The book introduces the Embedded Model Control methodology for the design and implementation of attitude and orbit control systems. The logic architecture is organized around the embedded model of the spacecraft and its surrounding environment. The model is compelled to include disturbance dynamics as a repository of the uncertainty that the control law must reject to meet attitude and orbit requirements within the uncertainty class. The source of the real-time uncertainty estimation/prediction is the model error signal, as it encodes the residual discrepancies between spacecraft measurements and model output. The embedded model and the uncertainty estimation feedback (noise estimator in the book) constitute the state predictor feeding the control law. Asymptotic pole placement (exploiting the asymptotes of closed-loop transfer functions) is the way to design and tune feedback loops around the embedded model (state predictor, control law, reference generator). The design versus the uncertainty class is driven by analytic stability and performance inequalities. The method is applied to several attitude and orbit control problems.- The book begins with an extensive introduction to attitude geometry and algebra and ends with the core themes: state-space dynamics and Embedded Model Control- Fundamentals of orbit, attitude and environment dynamics are treated giving emphasis to state-space formulation, disturbance dynamics, state feedback and prediction, closed-loop stability- Sensors and actuators are treated giving emphasis to their dynamics and modelling of measurement errors. Numerical tables are included and their data employed for numerical simulations- Orbit and attitude control problems of the European GOCE mission are the inspiration of numerical exercises and simulations- The suite of the attitude control modes of a GOCE-like mission is designed and simulated around the so-called mission state predictor- Solved and unsolved exercises are included within the text - and not separated at the end of chapters - for better understanding, training and application- Simulated results and their graphical plots are developed through MATLAB/Simulink code

Spacecraft Dynamics and Control: The Embedded Model Control Approach, 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 stabilityCovers sensors and actuators, focusing on their dynamics and the modeling of measurement errorsIncludes solved and unsolved exercises within the text to enhance understanding, facilitate training, and provide application exemplificationSimulated results and their graphical plots are generated using MATLAB/Simulink code

The scientific research in many engineering fields has been shifting from traditional first-principle-based to data-driven or evidence-based theories. The latter methods may enable better system design, based on more accurate and verifiable information.In the era of big data, IoT and cyber-physical systems, this subject is of growing importance, as data-driven approaches are key enablers to solve problems that could not be addressed by standard approaches. This book presents a number of innovative data-driven methodologies, complemented by significant application examples, to show the potential offered by the most recent advances in the field. Applicable across a range of disciplines, the topics discussed here will be of interest to scientists, engineers and students in automatic control and learning systems, automotive and aerospace engineering, electrical engineering and signal processing.