Modern Spacecraft Guidance, Navigation and Control

Modern Spacecraft Guidance, Navigation and Control

From System Modelling to AI and Innovative Applications

1st Edition - November 1, 2022

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  • Editors: Vincenzo Pesce, Andrea Colagrossi, Stefano Silvestrini
  • Paperback ISBN: 9780323909167

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Description

Modern Spacecraft Guidance, Navigation and Control: From System Modelling to AI and Innovative Applications provides a foundation of theory and applications of spacecraft GNC, from fundamentals to advanced concepts, including modern AI-based architectures with a focus on software and hardware practical applications. Divided into three parts, the book presents a historical introduction of spacecraft GNC, includes an overview of the main dynamical models in space, spacecraft attitude dynamics and stability analysis, sensors and actuators, covers guidance, navigation and control, including on-board and ground-based methods using applications such as launchers, rendezvous, landing, gravity assist, and attitude guidance, and discusses AI and modern applications. Presenting a wide and balanced treatment of spacecraft GNC with fundamental theory, modern applications and artificial intelligence, this new book is ideal for aerospace engineers, GNC/AOCS engineers, avionic developers and AIV/AIT technicians.

Key Features

  • Describes the application of artificial intelligence to spacecraft
  • Presents modern and cutting-edge algorithms currently used in research and applications
  • Covers the basic tools and ideas to derive GNC requirements from the main mission

Readership

Aerospace engineers, GNC/AOCS engineers, avionic developers, AIV/AIT technicians

Table of Contents

  • Part 1 Basic Tools
    1. Reference Systems and Planetary Models
    2. The Space Environment
    3. Orbital Dynamics
    4. Attitude Dynamics
    5. Sensors (with models and GNC related issues)
    6. Actuators (with models and GNC related issues)

    Part 2 Spacecraft GNC
    7. Guidance
    8. Navigation
    9. Control
    10. GNC Verification and Validation

    Part 3 AI and Modern Applications
    11. Applicative GNC Cases and Examples
    12. Modern GNC

Product details

  • No. of pages: 420
  • Language: English
  • Copyright: © Elsevier 2022
  • Published: November 1, 2022
  • Imprint: Elsevier
  • Paperback ISBN: 9780323909167

About the Editors

Vincenzo Pesce

Vincenzo Pesce is a GNC engineer at GMV Spain. He holds a PhD in Aerospace Engineering from Politecnico of Milan and he was a visiting researcher at NASA - Jet Propulsion Laboratory (2017) and at the University of Florida (2015). He is author or co-author of about 30 scientific publications on GNC, autonomous navigation, small-body exploration and microgravity experiments in international journals and conference proceedings. He received the prestigious Leonardo Committee Graduation Award and the Guido Horn D’Arturo Award for his research on vision-based autonomous navigation. He has been involved in several international projects in collaboration with European companies and agencies. He has been working on the development of close approach GNC for the Mars Sample Return mission. His current research interests include autonomous GNC for proximity operations, rendezvous and landing, vision-based navigation and GNC innovative methods.

Affiliations and Expertise

Vincenzo Pesce, GMV, Madrid, Spain

Andrea Colagrossi

Andrea Colagrossi is a postdoctoral research fellow at Politecnico di Milano, with main research interest in spacecraft GNC and small space systems engineering. He holds a PhD in Aerospace Engineering with a thesis on Dynamics and GNC for Rendezvous and Proximity operations in Cislunar Space. He was visiting researcher at Deimos Space, Spain (2018), and at Purdue University, Indiana U.S. (2015). He is author and co-author of about 30 scientific publications on GNC, small space systems and non-Keplerian dynamics in international journals and conference proceedings. He has been involved in several international projects, in collaboration with European companies and agencies, working on development studies about GNC for modern application scenarios, such as rendezvous in Lunar environment, fly around of asteroids and comets, proximity operations for active debris removal. His current research interests include effective GNC implementation with limited hardware resources, autonomous failure and contingency modes management, innovative GNC techniques.

Affiliations and Expertise

Postdoctoral Research Fellow, Politecnico di Milano, Italy

Stefano Silvestrini

Stefano Silvestrini is a PhD candidate at the Aerospace Science and Technology Department of Politecnico di Milano. He earned his MSc degree in Aerospace Engineering in 2017 from TU Delft. In 2015, he earned his BSc degree in Aerospace Engineering at the Università degli Studi di Padova. He spent 6-months research period at the College of Aerospace Engineering of Boston University under awarded scholarship. In 2016, he has worked for Airbus D&S in Munich. He is author and co-author of about 15 scientific publications on AI-based GNC, distributed space systems and relative dynamics in international journals and conference proceedings. He has been involved in national and EU/ESA-funded projects for developing innovative techniques for spacecraft GNC in different scenarios, such as missions to small bodies and proximity operations for active debris removal. His research interests include the development of AI-based learning algorithms for autonomous GNC in distributed space systems.

Affiliations and Expertise

PhD candidate, Aerospace Science and Technology Department, Politecnico di Milano, Italy

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