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Intelligent Autonomous Control of Spacecraft with Multiple Constraints

  • Book
  • © 2023

Overview

Authors:
  1. Qinglei Hu

    1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, China

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  2. Xiaodong Shao

    1. School of Aeronautic Science and Engineering, Beihang University, Beijing, China

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  3. Lei Guo

    1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, China

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  • Gives a systematic and self-contained presentation of design, analysis, and implementation results

  • Provides a series of latest results for spacecraft attitude and poses control under multiple state constraints

  • Addresses the well-motivated control problems and analyzes from a practical viewpoint

  • 2629 Accesses

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xxi
    Download chapter PDF

  2. Introduction

    • Qinglei Hu, Xiaodong Shao, Lei Guo
    Pages 1-38

  3. Dynamics Modeling and Mathematical Preliminaries

    • Qinglei Hu, Xiaodong Shao, Lei Guo
    Pages 39-63

  4. Data-Driven Adaptive Control for Spacecraft Constrained Reorientation

    • Qinglei Hu, Xiaodong Shao, Lei Guo
    Pages 65-102

  5. Learning-Based Fault-Tolerant Control for Spacecraft Constrained Reorientation Maneuvers

    • Qinglei Hu, Xiaodong Shao, Lei Guo
    Pages 103-137

  6. Intelligent Fault Diagnosis and Fault-Tolerant Control of Spacecraft

    • Qinglei Hu, Xiaodong Shao, Lei Guo
    Pages 139-164

  7. Reinforcement Learning-Based Dynamic Control Allocation for Spacecraft Attitude Stabilization

    • Qinglei Hu, Xiaodong Shao, Lei Guo
    Pages 165-182

  8. Learning-Based Adaptive Optimal Event-Triggered Control for Spacecraft Formation Flying

    • Qinglei Hu, Xiaodong Shao, Lei Guo
    Pages 183-204

  9. Adaptive Prescribed Performance Pose Control of Spacecraft Under Motion Constraints

    • Qinglei Hu, Xiaodong Shao, Lei Guo
    Pages 205-232

  10. I&I Adaptive Pose Control of Spacecraft Under Kinematic and Dynamic Constraints

    • Qinglei Hu, Xiaodong Shao, Lei Guo
    Pages 233-266

  11. Composite Learning Pose Control of Spacecraft with Guaranteed Parameter Convergence

    • Qinglei Hu, Xiaodong Shao, Lei Guo
    Pages 267-296

  12. Reinforcement Learning-Based Pose Control of Spacecraft Under Motion Constraints

    • Qinglei Hu, Xiaodong Shao, Lei Guo
    Pages 297-323

  13. Back Matter

    Pages 325-331
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Keywords

About this book

This book explores the intelligent autonomous control problems for spacecraft with multiple constraints, such as pointing/path constraints, linear/angular velocity constraints, performance constraints, etc. It provides  an almost self-contained presentation of dynamics modeling, controller design and analysis, as well as simulation studies. The book aims to offer a valuable guide for researchers and aerospace engineers to address the theoretical and technical difficulties in different applications, ranging from spacecraft attitude reorientation and tracking to spacecraft proximity operations, and is mainly intended for technical and engineering staff engaged in spacecraft dyanmics and control areas.

Authors and Affiliations

  • School of Automation Science and Electrical Engineering, Beihang University, Beijing, China

    Qinglei Hu, Lei Guo

  • School of Aeronautic Science and Engineering, Beihang University, Beijing, China

    Xiaodong Shao

About the authors

• Prof. Qinglei Hu

 


Prof. Hu is one of the world leading scholars in the field of Spacecraft Guidance, Navigation and Control (GN&C), Fault Diagnosis and Fault-Tolerant Control, and Nonlinear Dynamics and Control. He is a productive researcher and has published 150+ SCI journal papers, including 50+ papers in IEEE Transactions and in AIAA Journals. The impact of his professional knowledge can be witnessed by having 7000+ Google citations of his papers (with H-index 50) as well as 7 ESI highly cited papers.


 


Prof. Hu is a remarkable researcher, making fundamental contributions to spacecraft dynamics and GN&C systems. This is demonstrated by his outstanding work in the related fields. Moreover, he has been the pioneer to conduct research on fault-tolerant control with special applications to spacecraft, unmanned aerial vehicles, and missiles, which has attracted a huge amount of attention. His work recently has brought a strong impact to the aforementioned fields. His contributions in these areas are outstanding.

 


As recognition for his significant contributions and success to both teaching and research, Prof. Hu has been presented a number of research awards (the second class of National Award for Technological Invention, etc.) and editorial services for many high-quality journals and has been invited as a visiting professor at a number of universities. Prof. Hu is currently the associate editor for Aerospace Science and Technology. He has been actively involved in various technical professional societies such AIAA, IEEE, and ASME, as reflected by Associate Fellow of AIAA, Senior Member of IEEE, and the general chair of many international conferences. Prof. Hu was awarded as the 2016, 2017, 2018, and 2019 Elsevier Highly Cited Chinese Researcher in Control and Systems Engineering. Moreover, he is the recipient of the Royal Society Fellowship Award in 2008.


Bibliographic Information

  • Book Title: Intelligent Autonomous Control of Spacecraft with Multiple Constraints

  • Authors: Qinglei Hu, Xiaodong Shao, Lei Guo

  • DOI: https://doi.org/10.1007/978-981-99-0681-9

  • Publisher: Springer Singapore

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023

  • Hardcover ISBN: 978-981-99-0680-2Published: 03 May 2023

  • Softcover ISBN: 978-981-99-0683-3Due: 17 May 2024

  • eBook ISBN: 978-981-99-0681-9Published: 02 May 2023

  • Edition Number: 1

  • Number of Pages: XXI, 331

  • Number of Illustrations: 3 b/w illustrations, 159 illustrations in colour

  • Topics: Control, Robotics, Mechatronics, Aerospace Technology and Astronautics

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