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© 2019

Finite Time and Cooperative Control of Flight Vehicles

Benefits

  • Uses the sliding mode variable structure control method system to elaborate on single-aircraft and multi-body aircraft attitude setting and attitude control problems

  • Proposes control laws to enhance the performance of spacecraft systems

  • Suggests methods for meeting the many demands on spacecraft systems, such as strong disturbance rejection and high-precision control

Book

Part of the Advances in Industrial Control book series (AIC)

Table of contents

  1. Front Matter
    Pages i-xxvi
  2. Preliminaries and Literature Review

    1. Front Matter
      Pages 1-1
    2. Yuanqing Xia, Jinhui Zhang, Kunfeng Lu, Ning Zhou
      Pages 3-10
    3. Yuanqing Xia, Jinhui Zhang, Kunfeng Lu, Ning Zhou
      Pages 11-24
  3. Finite-Time Attitude Stabilization and Tracking Control of Spacecraft

    1. Front Matter
      Pages 25-25
    2. Yuanqing Xia, Jinhui Zhang, Kunfeng Lu, Ning Zhou
      Pages 27-49
    3. Yuanqing Xia, Jinhui Zhang, Kunfeng Lu, Ning Zhou
      Pages 51-69
    4. Yuanqing Xia, Jinhui Zhang, Kunfeng Lu, Ning Zhou
      Pages 117-140
    5. Yuanqing Xia, Jinhui Zhang, Kunfeng Lu, Ning Zhou
      Pages 141-169
  4. Finite-Time Attitude Synchronization for Multiple Spacecraft

    1. Front Matter
      Pages 193-193
    2. Yuanqing Xia, Jinhui Zhang, Kunfeng Lu, Ning Zhou
      Pages 195-213
    3. Yuanqing Xia, Jinhui Zhang, Kunfeng Lu, Ning Zhou
      Pages 215-231
    4. Yuanqing Xia, Jinhui Zhang, Kunfeng Lu, Ning Zhou
      Pages 233-257
    5. Yuanqing Xia, Jinhui Zhang, Kunfeng Lu, Ning Zhou
      Pages 273-294
    6. Yuanqing Xia, Jinhui Zhang, Kunfeng Lu, Ning Zhou
      Pages 295-321
  5. Finite-Time Formation Reconfiguration and Escorting Mission Based Coordination

    1. Front Matter
      Pages 323-323

About this book

Introduction

This book focuses on the finite-time control of attitude stabilization, attitude tracking for individual spacecraft, and finite-time control of attitude synchronization. It discusses formation reconfiguration for multiple spacecraft in complex networks, and provides a new fast nonsingular terminal sliding mode surface (FNTSMS). Further, it presents newly designed controllers and several control laws to enhance the performance of spacecraft systems and meet related demands, such as strong disturbance rejection and high-precision control.
 
As such, the book establishes a fundamental framework for these topics, while also highlighting the importance of integrated analysis. It is a useful resource for all researchers and students who are interested in this field, as well as engineers whose work involves designing flight vehicles.

Keywords

Multiple spacecraft systems Attitude synchronisation Attitude coordination control Finite-time control Terminal sliding mode Adaptive control Fault-tolerant control Super-twisting algorithm Reaching law control Extended state observer Disturbances observer Actuator saturations Actuator faults

Authors and affiliations

  1. 1.School of AutomationBeijing Institute of TechnologyBeijingChina
  2. 2.School of AutomationBeijing Institute of TechnologyBeijingChina
  3. 3.Beijing Aerospace Automatic Control InstituteBeijingChina
  4. 4.College of Computer and Information SciencesFujian Agriculture and Forestry UniversityFuzhouChina

About the authors

Dr. Yuanqing Xia received his Ph.D. in Control Theory and Control Engineering from Beijing University of Aeronautics and Astronautics, China in 2001. He is currently a professor at the Beijing Institute of Technology. From 2002 to 2003, he was a postdoctoral research associate at the Institute of Systems Science, Chinese Academy of Sciences. He has worked as a research fellow at both the National University of Singapore and the University of Glamorgan, UK. From 2007 to 2008, he was a guest professor at Innsbruck Medical University, Austria. His research interests include networked control systems, robust control and signal processing, and active disturbance rejection control.
 
Dr. Jinhui Zhang received his Ph.D. in Control Science and Engineering from the Beijing Institute of Technology, China in 2011. He is currently an associate professor at Tianjin University, China. From 2011 to 2016, he was an associate professor at Beijing University of Chemical Technology, China, and from 2010 to 2011, he was a research associate at the University of Hong Kong and the City University of Hong Kong. He has also worked as a visiting fellow at the University of Western Sydney, Australia. His research interests include networked control systems, robust control/filter theory, and disturbance rejection control.
 
Kunfeng Lu received his Ph.D. from the School of Automation, Beijing Institute of Technology, China in 2014. Currently, he works as an engineer at the Beijing Aerospace Automatic Control Institute (China) and the National Key Laboratory of Science and Technology on Aerospace Intelligent Control, China. His research interests include vehicle guidance and control, finite-time control, active disturbance rejection control, and sliding mode control.
 
Ning Zhou received her Ph.D. in Control Science and Engineering from the Beijing Institute of Technology, China in 2015. She is currently a postdoctoral researcher at the University of Groningen, the Netherlands, and a lecturer at the Research Institute of Big Data for Agriculture and Forestry, Fujian Agriculture and Forestry University, China. Her research interests include spacecraft attitude synchronization, sliding mode control, multi-agent control, and neural network control.

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