
Doubly Fed Induction Generators
Description
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Discusses the main features and advantages of the DFIG
Describes key theoretical fundamentals and the DFIG mathematical model
Develops controllers using inverse optimal control, sliding modes, and neural networks
Devises an improvement to add robustness in the presence of parametric variations
Details the results of real-time implementations
All controllers presented in the book are tested in a laboratory prototype. Comparisons between the controllers are made by analyzing statistical measures applied to the control objectives.
Reviews / Votes
"... presents a comprehensive description of the modeling and control of doubly fed induction generators (DFIGs), which are cutting-edge technologies used in the wind industry. This book has taken a fresh approach to introducing various control techniques associated with the DFIG wind generator technology. This approach enables researchers, [even those] with little background knowledge, to obtain a very good understanding of the topic."-Dr. Lasantha Meegahapola, RMIT University, Melbourne, Victoria, Australia
"... focuses on the nonlinear control of DFIG systems. The sliding mode, neural network, and inverse optimal control are included in this book to investigate the operation performance of DFIGs."
-Heng Nian, Zhejiang University, Hangzhou, China
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Persons
Riemann Ruiz-Cruz was born in Oaxaca, Mexico, in 1983. He earned the BSEE from Instituto Tecnologico de Oaxaca, Mexico, in 2006; and the MSEE and D.Sc. in electrical engineering from the Advanced Studies and Research Center of the National Polytechnic Institute (CINVESTAV-IPN), Guadalajara, Mexico, in 2009 and 2013, respectively. Since August 2013, he has been with Instituto Tecnologico y de Estudios Superiores de Occidente (ITESO), Guadalajara, Mexico. He is also a member of the Mexican National Research System (rank C). His research interests center on neural control, block control, inverse optimal control, and discrete-time sliding modes, and their applications to electrical machines and power systems.
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