Disturbance Observer-Based Control
Methods and Applications
1st Edition
Published on 12. October 2017
Book
Paperback/Softback
344 pages
978-1-138-19998-9 (ISBN)
Description
Due to its abilities to compensate disturbances and uncertainties, disturbance observer based control (DOBC) is regarded as one of the most promising approaches for disturbance-attenuation. One of the first books on DOBC, Disturbance Observer Based Control: Methods and Applications presents novel theory results as well as best practices for applications in motion and process control that have already benefited numerous organizations.
Supplying authoritative guidance in the areas of disturbance estimation and compensation for practical engineering systems, the book includes coverage of theoretic methods and practical applications of disturbance estimation and compensation for control systems through a DOBC approach. It considers applications in flight control systems, motion control systems, and process control systems.
Supplies an authoritative overview of disturbance observer based control approaches
Reports on recent developments in disturbance estimation techniques
Considers matched and mismatched disturbance/uncertainty attenuation for DOBC
Illustrates applications of the methods covered with detailed engineering case studies
Filled with valuable insights gathered over decades of research by the authors, this book provides time- and stress-saving guidance for anyone interested in the theory and method research of DOBC. Using typical engineering examples, the text provides readers with an understanding of recent developments in DOBC as well as the tools required to make the most of this promising approach to disturbance-attenuation.
Supplying authoritative guidance in the areas of disturbance estimation and compensation for practical engineering systems, the book includes coverage of theoretic methods and practical applications of disturbance estimation and compensation for control systems through a DOBC approach. It considers applications in flight control systems, motion control systems, and process control systems.
Supplies an authoritative overview of disturbance observer based control approaches
Reports on recent developments in disturbance estimation techniques
Considers matched and mismatched disturbance/uncertainty attenuation for DOBC
Illustrates applications of the methods covered with detailed engineering case studies
Filled with valuable insights gathered over decades of research by the authors, this book provides time- and stress-saving guidance for anyone interested in the theory and method research of DOBC. Using typical engineering examples, the text provides readers with an understanding of recent developments in DOBC as well as the tools required to make the most of this promising approach to disturbance-attenuation.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Electrical engineers, control systems engineers, estimation theorists, aerospace/mechanical/chemical engineers, mechatronics, and applied mathematicians.
Illustrations
115 s/w Abbildungen, 10 s/w Tabellen
10 Tables, black and white; 115 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 19 mm
Weight
524 gr
ISBN-13
978-1-138-19998-9 (9781138199989)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
E-Book
04/2016
1st Edition
CRC Press
€72.49
Available for download
E-Book
04/2016
1st Edition
CRC Press
€72.49
Available for download
Book
02/2014
1st Edition
CRC Press
€215.60
Shipment within 15-20 days
Persons
Shihua Li was born in Pingxiang, Jiangxi Province, China in 1975. He received his bachelor, master, and Ph.D. degrees all in Automatic Control from Southeast University, Nanjing, China in 1995, 1998 and 2001, respectively. Since 2001, he has been with School of Automation, Southeast University, where he is currently a professor. His main research interests include nonlinear control theory with applications to robots, spacecraft, AC motors and other mechanical systems. He's senior member of IEEE, published over 100 academic papers in journals including Automatica, IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics, International Journal of Systems Science, International Journal of Control, Aerospace Science and Technology, etc..
Jun Yang received his B.S. degree in the Department of Automatic Control from Northeastern University, Shenyang, China in 2006. In 2011, he received the Ph.D. degree in control theory and control engineering from School of Automation, Southeast University, Nanjing, China, where he is currently a lecturer. His research interests include disturbance estimation and compensation, advanced control theory and its application to flight control systems, motion control systems and process control systems.
Wen-Hua Chen received his M.S. and Ph.D. degrees from Department of Automatic Control at Northeast University, China, in 1989 and 1991, respectively. From 1991 to 1996, he was a lecturer in Department of Automatic Control at Nanjing University of Aeronautics and Astronautics, China. He held a research position and then a lectureship in control engineering in Centre for Systems and Control at University of Glasgow, UK, from 1997 to 2000. He currently holds a senior lectureship in flight control systems in Department of Aeronautical and Automotive Engineering at Loughborough University, UK. He has published more than 100 articles in journals and conferences. His research interests include the development of advanced control strategies and their applications in aerospace engineering.
Xisong Chen received his B.S. degrees from School of Electronic Science and Engineering at Jilin University, China, in 1992. He received his M.S. and Ph.D. degrees from School of Automation at Southeast University, in 2002 and 2009, respectively. Since 2002, he has been with School of Automation, Southeast University, where he is currently a professor. His research interests include advanced control strategies, disturbance attenuation methods and their applications in process control engineering.
Jun Yang received his B.S. degree in the Department of Automatic Control from Northeastern University, Shenyang, China in 2006. In 2011, he received the Ph.D. degree in control theory and control engineering from School of Automation, Southeast University, Nanjing, China, where he is currently a lecturer. His research interests include disturbance estimation and compensation, advanced control theory and its application to flight control systems, motion control systems and process control systems.
Wen-Hua Chen received his M.S. and Ph.D. degrees from Department of Automatic Control at Northeast University, China, in 1989 and 1991, respectively. From 1991 to 1996, he was a lecturer in Department of Automatic Control at Nanjing University of Aeronautics and Astronautics, China. He held a research position and then a lectureship in control engineering in Centre for Systems and Control at University of Glasgow, UK, from 1997 to 2000. He currently holds a senior lectureship in flight control systems in Department of Aeronautical and Automotive Engineering at Loughborough University, UK. He has published more than 100 articles in journals and conferences. His research interests include the development of advanced control strategies and their applications in aerospace engineering.
Xisong Chen received his B.S. degrees from School of Electronic Science and Engineering at Jilin University, China, in 1992. He received his M.S. and Ph.D. degrees from School of Automation at Southeast University, in 2002 and 2009, respectively. Since 2002, he has been with School of Automation, Southeast University, where he is currently a professor. His research interests include advanced control strategies, disturbance attenuation methods and their applications in process control engineering.
Content
OVERVIEW. An Overview on Disturbance Observer Based Control. DISTURBANCE ESTIMATION METHODS. Linear Disturbance Estimator. Traditional Nonlinear Disturbance Observer. Advanced Nonlinear Disturbance Observer. DISTURBANCE COMPENSATION METHODS. Disturbance Compensation for Mismatched Uncertain System. Disturbance Compensation for Nonlinear Systems with Arbitrary Disturbance relative Degree. Disturbance Observer Based Sliding-Mode Control. Disturbance Observer Based Mode Predictive Control. APPLICATION CASE STUDIES. DOBC for Grinding Classification Processes. DOBC for MAGLEV Suspension System. Active Disturbance Control for PMSM System. Disturbance Rejection Oriented Autopilot Design for Bank-to-Turn Missiles. Disturbance Rejection for Air-Breathing Hypersonic Vehicles.