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    Intelligent Autonomous Control of Spacecraft with Multiple Constraints

    AvQinglei Hu,Xiaodong Shao

    Inbunden, Engelska, 2023

    1 721 kr

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    Övrigt

    646 kr

    Häftad

    1 721 kr

    Beskrivning

    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.

    Produktinformation

    • Utgivningsdatum:2023-05-03
    • Mått:155 x 235 x 24 mm
    • Vikt:764 g
    • Format:Inbunden
    • Språk:Engelska
    • Antal sidor:331
    • Förlag:Springer Verlag, Singapore
    • ISBN:9789819906802

    Utforska kategorier

    • Elektronik och kommunikationer inom Naturvetenskap och teknik
    • Flyg- och rymdteknik inom Naturvetenskap och teknik
    • Rymdforskning inom Naturvetenskap och teknik

    Mer om författaren

    • 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 hasbrought 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.

    Innehållsförteckning

    • Introduction.- Dynamics Modelling and Preliminaries.- Anti-Unwinding Attitude Reorientation of Spacecraft with Pointing Constraints.- Adaptive Robust Control for Spacecraft Reorientation with Attitude Constraints.- Data-Driven I&I Adaptive Control for Spacecraft Constrained Slew Maneuvers.- Guaranteed Performance Attitude Tracking of Spacecraft Under Input Saturation.- Fault-Tolerant Control for Spacecraft Attitude Tracking with Full-State Constraints.- Robust Fault-Tolerant Pose Control of Spacecraft with Finite-Time Convergence.- Saturated Pose Control of Spacecraft Under Path and Line-of-Sight Constraints.- Prescribed Performance Pose Control of Spacecraft Under Motion Constraints.- I&I Adaptive Pose Control of Spacecraft Under Kinematic and Dynamic Constraints.- Composite Learning Pose Control with Parameter Convergence via Finite Excitation.