Read online ebook Automation and Control Engineering: Doubly Fed Induction Generators : Control for Wind Energy by Edgar N. Sanchez PDF, FB2, DOC
9781498745840 1498745849 Addresses a doubly fed induction generator (DFIG) control used for wind energy by means of nonlinear and adaptive control techniques and presents different control schemes for automatic control of the RSC and GSC. In order to test their performance, all the controllers presented in this book are tested in a laboratory prototype and comparisons between them are done by means of statistical measures applied to the control objectives. This book is the first one dedicated to discuss the design of control algorithms for doubly fed induction generators using sliding modes, inverse optimal control and neural networks; additionally and includes real-time implementations., Doubly Fed Induction Generators: Control for Wind Energyprovides 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.
9781498745840 1498745849 Addresses a doubly fed induction generator (DFIG) control used for wind energy by means of nonlinear and adaptive control techniques and presents different control schemes for automatic control of the RSC and GSC. In order to test their performance, all the controllers presented in this book are tested in a laboratory prototype and comparisons between them are done by means of statistical measures applied to the control objectives. This book is the first one dedicated to discuss the design of control algorithms for doubly fed induction generators using sliding modes, inverse optimal control and neural networks; additionally and includes real-time implementations., Doubly Fed Induction Generators: Control for Wind Energyprovides 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.