Overview

Modern Spacecraft Guidance, Navigation, and Control: From System Modeling to AI and Innovative Applications provides a comprehensive foundation of theory and applications of spacecraft GNC, from fundamentals to advanced concepts, including modern AI-based architectures with focus on hardware and software practical applications. Divided into four parts, this book begins with an introduction to spacecraft GNC, before discussing the basic tools for GNC applications. These include an overview of the main reference systems and planetary models, a description of the space environment, an introduction to orbital and attitude dynamics, and a survey on spacecraft sensors and actuators, with details of their modeling principles. Part 2 covers guidance, navigation, and control, including both on-board and ground-based methods. It also discusses classical and novel control techniques, failure detection isolation and recovery (FDIR) methodologies, GNC verification, validation, and on-board implementation. The final part 3 discusses AI and modern applications featuring different applicative scenarios, with particular attention on artificial intelligence and the possible benefits when applied to spacecraft GNC. In this part, GNC for small satellites and CubeSats is also discussed. Modern Spacecraft Guidance, Navigation, and Control: From System Modeling to AI and Innovative Applications is a valuable resource for aerospace engineers, GNC/AOCS engineers, avionic developers, and AIV/AIT technicians.

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9780323909167

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Dr. Vincenzo Pesce is a GNC Engineer at Airbus D&S Advanced Studies Department in Toulouse, France. His current research interests include autonomous GNC for proximity operations, rendezvous and landing, vision-based navigation, and GNC innovative methods. Dr. Andrea Colagrossi is an assistant professor of Flight Mechanics at the Aerospace Science and Technology Department of Politecnico di Milano. His main research interests are spacecraft GNC and system engineering for advanced small satellite applications, with a focus on effective GNC implementation with limited hardware resources, innovative GNC techniques, and autonomous failure and contingency modes management. Dr. Stefano Silvestrini is a post-doctoral researcher at the Aerospace Science and Technology Department of Politecnico di Milano. His research interests include the development of Artificial Intelligence algorithms for autonomous GNC in distributed space systems and proximity operations, particularly tailored for embedded applications in small platforms.

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