Compound Control Methodology for Flight Vehicles (eBook)

Artikelnummer: 978-3-642-36841-7
Einband: PDF
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"Compound Control Methodology for Flight Vehicles" focuses on new control methods for flight vehicles. In this monograph the concept of compound control is introduced. It is demonstrated that both Sliding Mode Control (SMC) and Active Disturbance Rejection Control (ADRC) have their own advantages and limitations, i.e., chattering of SMC and the observability of extended state observer (ESO), respectively. It is shown that compound control combines their advantages and improves the performance of the closed-loop systems. The book is self-contained, providing sufficient mathematical foundations for understanding the contents of each chapter. It will be of significant interest to scientists and engineers engaged in the field of flight vehicle control.

"Compound Control Methodology for Flight Vehicles" focuses on new control methods for flight vehicles. In this monograph the concept of compound control is introduced. It is demonstrated that both Sliding Mode Control (SMC) and Active Disturbance Rejection Control (ADRC) have their own advantages and limitations, i.e., chattering of SMC and the observability of extended state observer (ESO), respectively. It is shown that compound control combines their advantages and improves the performance of the closed-loop systems. The book is self-contained, providing sufficient mathematical foundations for understanding the contents of each chapter. It will be of significant interest to scientists and engineers engaged in the field of flight vehicle control.

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VerlagSpringer Berlin Heidelberg
EinbandPDF
Erscheinungsjahr2013
Seitenangabe260 S.
AusgabekennzeichenEnglisch
AbbildungenXVIII, 260 p. 125 illus.
Masse5'792 KB
PlattformPDF
ReiheLecture Notes in Control and Information Sciences; Engineering; Engineering
AutorXia, Yuanqing / Fu, Mengyin

Alle Bände der Reihe "Lecture Notes in Control and Information Sciences; Engineering; Engineering (R0)"

Über den Autor Yuanqing Xia

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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