Fr. 86.00

Disturbance Observer-Based Control - Methods and Applications

English · Paperback / Softback

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Description

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One of the first books on DOBC, Disturbance Observer Based Control: Methods and Applications presents novel theory results and best practices for applications in motion and process control that have already benefited numerous organizations. Providing 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.

List of contents

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.

About the author

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.

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