Spacecraft Maneuver with Performance Guaranteed Control, Games, and Cooperation

Facing future-oriented aerospace applications, large-scale space construction and on-orbit services have rapidly developed. In such emerging and increasingly complex spacecraft maneuvering and control tasks, more precise control accuracy and higher performance guarantees need to be fully considered due to the need for safe close rendezvous movements.

This book is dedicated to solving the aerospace system’s performance guaranteed and precise control challenges with the expected transient and strict steady-state constraints. It is designed so that the aerospace closed-loop system can theoretically meet the pre-defined or prescribed performance requirements with the simple parameter selection. Furthermore, the expected performance constraints or indicators of the aerospace system time-domain performance response, such as settling time, overshoot, steady-state error, and state amplitude, will be directly guaranteed in the control design. Moreover, this book systematically proposes a series of spacecraft performance guaranteed control algorithms based on the practical situation of the aerospace system. For individual spacecraft, control algorithms that consider practical problems such as control task requirements, settling time constraints, transient performance normalization, input command constraints, and optimization faced by the on-orbit spacecraft are proposed to achieve the precise control objectives of the system under constraints and various complex situations. For the pre-combination and post-combination control of multiple spacecraft, game algorithms based on performance guarantees are proposed and thoroughly discussed. For spacecraft formations, control algorithms that consider full-state constraints, nonlinear uncertainties, output feedback, and collision avoidance are proposed.

This book provides the theoretical basis and simulation experience for scholars and engineers to develop high-performance, high-precision spacecraft control algorithms. Furthermore, it hopes that these will contribute to the development of the world’s aerospace technology.

Introduction.- Spacecraft Model and Preliminaries.- Spacecraft Performance Guaranteed Asymptotic Control with Time Parameters.- Spacecraft Performance Guaranteed Finite-Time Control.- Spacecraft Performance Guaranteed Control with Improved Transient Performance.- Spacecraft Performance Guaranteed Control with Command Filter.- Spacecraft Performance Guaranteed Finite-Time Control with Command Filter.- Spacecraft Performance Guaranteed Optimal Control with ADP.- Performance Guaranteed Non-zero-Sum Games for Multiple Spacecraft in Rendezvous and Docking.- Performance Guaranteed Non-zero-sum Games for Multiple Combined Spacecraft.- Spacecraft Performance Guaranteed Distributed Formation Control with Full-State Constraints and Nonlinear Uncertainties.- Spacecraft Performance Guaranteed Coordinated Formation Control with Attitude Constraints via State and Output Feedback.- Network Spacecraft Formation Containment Control with Collision Avoidance.

Yufeng Gao received his Bachelor of Engineering and Bachelor of Economics degrees from Wuhan University of Technology and Wuhan University both in 2016. And he received the Ph.D. degree from Control Science and Engineering, Harbin Institute of Technology, China, in 2021. He was a joint Ph.D. student supported by China Scholarship Council with the Chair of Automatic Control Engineering, Technical University of Munich, Germany, from 2018 to 2019. His current research interests include spacecraft system modeling, control and optimization; performance guaranteed control; game theory and control. He has published academic articles on spacecraft control and performance guaranteed control and has served/been serving as an active reviewer of some international journals and conferences. He won the Excellent Student of Harbin Institute of Technology in 2020.

Dongyu Li received the B.S. and Ph.D. degree from Control Science and Engineering, Harbin Institute of Technology, China, in 2016 and 2020. He was a joint Ph.D. student with the Department of Electrical and Computer Engineering, National University of Singapore from 2017 to 2019, and a research fellow with the Department of Biomedical Engineering, National University of Singapore, from 2019 to 2021. He is currently an Associate Professor with the School of Cyber Science and Technology, Beihang University, China, and a Senior Research Scientist with Shanghai Institute of Satellite Engineering, Shanghai 201109, China. His research interests include networked system cooperation, adaptive systems, and spacecraft engineering.