Doubly Fed Induction Generators : Control for Wind Energy

Edgar N. Sanchez

ISBN 10: 1498745849 / ISBN 13: 9781498745840

Verlag: CRC Press, 2016

Beschreibung

nach der Bestellung gedruckt Neuware - Printed after ordering - Doubly Fed Induction Generators: Control for Wind Energy provides a detailed source of information on the modeling and design of controllers for the doubly fed induction generator (DFIG) used in wind energy applications. Focusing on the use of nonlinear control techniques, this book:Discusses the main features and advantages of the DFIGDescribes key theoretical fundamentals and the DFIG mathematical modelDevelops controllers using inverse optimal control, sliding modes, and neural networksDevises an improvement to add robustness in the presence of parametric variationsDetails the results of real-time implementationsAll 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.

Bestandsnummer des Verkäufers 9781498745840

Bibliografische Details

• Titel: Doubly Fed Induction Generators : Control for Wind Energy
• Verlag: CRC Press
• Erscheinungsjahr: 2016
• Sprache: Englisch
• ISBN-10: 1498745849
• ISBN-13: 9781498745840
• Einband: Buch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

Doubly Fed Induction Generators: Control for Wind Energy provides a detailed source of information on the modeling and design of controllers for the doubly fed induction generator (DFIG) used in wind energy applications. Focusing on the use of nonlinear control techniques, this book:

• 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.

Über die Autorin bzw. den Autor

Edgar N. Sanchez was born in Sardinata, Colombia, in 1949. He earned the BSEE, majoring in power systems, from Universidad Industrial de Santander (UIS), Bucaramanga, Colombia, in 1971; the MSEE, majoring in automatic control, from the Advanced Studies and Research Center of the National Polytechnic Institute (CINVESTAV-IPN), Mexico City, Mexico, in 1974; and the docteur ingenieur degree in automatic control from Institut Nationale Polytechnique de Grenoble, France, in 1980. Since January 1997, he has been with CINVESTAV-IPN, Guadalajara, Mexico. He was granted a USA National Research Council Award as a research associate at NASA Langley Research Center, Hampton, Virginia, USA (January 1985 to March 1987). He is also a member of the Mexican National Research System (promoted to highest rank, III, in 2005), the Mexican Academy of Science, and the Mexican Academy of Engineering. He has published more than 200 technical papers in international journals and conferences, and has served as associate editor and reviewer for different international journals and conferences. He has also been a member of many international program committees, for both IEEE and IFAC conferences. His research interest centers on neural networks and fuzzy logic as applied to automatic control systems.

Riemann Ruiz-Cruz was born in Oaxaca, Mexico, in 1983. He earned the BSEE from Instituto Tecnológico 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.