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.
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