Active Disturbance Rejection Control of Dynamic Systems: A Flatness Based Approach
Language: English
Published by Elsevier - Health Sciences Division, 2017
- Softcover
- New

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- Title
- Active Disturbance Rejection Control of Dynamic Systems: A Flatness Based Approach
- Author
- Hebertt Sira-Ramirez
- Publisher
- Elsevier - Health Sciences Division
- Publication year
- 2017
- Condition
- New
- Binding
- Paperback / softback
- Language
- English
- ISBN 10
- 0128498684
- ISBN 13
- 9780128498682
- Item weight
- 635 grams
Active Disturbance Rejection Control of Dynamic Systems: A Flatness Based Approach describes the linear control of uncertain nonlinear systems. The net result is a practical controller design that is simple and surprisingly robust, one that also guarantees convergence to small neighborhoods of desired equilibria or tracking errors that are as close to zero as desired.
This methodology differs from current robust feedback controllers characterized by either complex matrix manipulations, complex parameter adaptation schemes and, in other cases, induced high frequency noises through the classical chattering phenomenon.
The approach contains many of the cornerstones, or philosophical features, of Model Free Control and ADRC, while exploiting flatness and GPI control in an efficient manner for linear, nonlinear, mono-variable and multivariable systems, including those exhibiting inputs delays.
The book contains successful experimental laboratory case studies of diverse engineering problems, especially those relating to mechanical, electro-mechanical, robotics, mobile robotics and power electronics systems.
- Provides an alternative way to solve disturbance rejection problems and robust control problem beyond the existing approaches based on matrix algebra and state observers
- Generalizes the widely studied Extended State Observer to a class of observers called Generalized Proportional Integral Observers (GPI Observers)
- Contains successful experimental laboratory case studies
"Synopsis" may belong to another edition of this title.
About the Author
Alberto Luviano Juárez was born in Mexico City, Mexico, in 1981. He received the B.S. degree in mechatronics engineering from the Instituto Politécnico Nacional, Mexico, in 2003, the M.Sc. degree in automatic control from the Department of Automatic Control, Centro de Investigación y de Estudios Avanzados (CINVESTAV), Instituto Politécnico Nacional (IPN), in 2006, and the Ph.D. degree in electrical engineering from the Mechatronics section, Departament of Electrical Engineering at CINVESTAV, IPN, in 2011.
Since 2011, he has been with the Postgraduate and Research Section at Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas, IPN. His research interests include robust estimation and control in mechatronic systems, robotics, and algebraic methods in the estimation and control of mechatronic systems. Dr. Alberto Luviano Juárez is the Coordinator of Master's Program in Advanced Technology, since april 2014.
M. Ramírez-Neria He received the B.S. degree in Mechatronics Engineering from UPIITA-IPN of the Instituto Politécnico Nacional , Mexico City, Mexico (2008), the M.S. degree in Electrical Engineering from the Mechatronics Section of the Electrical Engineering Department of CINVESTAV-IPN, Mexico City,Mexico (2011), Currently, he is a Ph.D. candidate at Automatic Control Departament of CINVESTAV-IPN. His current research interest are applications of control theory, active disturbance rejection control, mechanical underactuated systems, robotics and mechatronic systems.
E.W. Zurita-Bustamante received the B.S.degree in electronic engineering from the Universidad Tecnológica de la Mixteca, Huajuapan de León, Oaxaca, México, in 2007, the M.S degree in Electronic and Computer Science from the Universidad Tecnológica de la Mixteca, Huajuapan de León, Oaxaca, México, in 2010. Currently, he is a Ph.D. student at Electrical Departament of CINVESTAV-IPN. His research interests include development and implementation of hardware architectures on reconfigurable logic for power electronics, automatic control and mechatronic systems.
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