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Ruiz-Cruz Riemann - Doubly fed induction generators: control for wind energy

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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 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. Read more...
Abstract: 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 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

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Doubly Fed Induction Generators CONTROL FOR WIND ENERGY AUTOMATION AND - photo 1

Doubly Fed Induction Generators

CONTROL FOR WIND ENERGY

AUTOMATION AND CONTROL ENGINEERING
A Series of Reference Books and Textbooks

Series Editors

FRANK L. LEWIS, Ph.D.,
Fellow IEEE, Fellow IFAC

Professor
The Univeristy of Texas Research Institute
The University of Texas at Arlington

SHUZHI SAM GE, Ph.D.,
Fellow IEEE
Professor
Interactive Digital Media Institute
The National University of Singapore

PUBLISHED TITLES

Doubly Fed Induction Generators: Control for Wind Energy,Edgar N. Sanchez; Riemann Ruiz-Cruz

Optimal Networked Control Systems with MATLAB,Jagannathan Sarangapani; Hao Xu

Cooperative Control of Multi-agent Systems: A Consensus Region Approach,Zhongkui Li; Zhisheng Duan

Nonlinear Control of Dynamic Networks,Tengfei Liu; Zhong-Ping Jiang; David J. Hill

Modeling and Control for Micro/Nano Devices and Systems,Ning Xi; Mingjun Zhang; Guangyong Li

Linear Control System Analysis and Design with MATLAB, Sixth Edition,Constantine H. Houpis; Stuart N. Sheldon

Real-Time Rendering: Computer Graphics with Control Engineering,Gabriyel Wong; Jianliang Wang

Anti-Disturbance Control for Systems with Multiple Disturbances,Lei Guo; Songyin Cao

Tensor Product Model Transformation in Polytopic Model-Based Control,Pter Baranyi; Yeung Yam; Pter Vrlaki

Fundamentals in Modeling and Control of Mobile Manipulators,Zhijun Li; Shuzhi Sam Ge

Optimal and Robust Scheduling for Networked Control Systems,Stefano Longo; Tingli Su; Guido Herrmann; Phil Barber

Advances in Missile Guidance, Control, and Estimation,S.N. Balakrishna; Antonios Tsourdos; B.A. White

End to End Adaptive Congestion Control in TCP/IP Networks,Christos N. Houmkozlis; George A Rovithakis

Robot Manipulator Control: Theory and Practice,Frank L. Lewis; Darren M Dawson; Chaouki T. Abdallah

Quantitative Process Control Theory,Weidong Zhang

Classical Feedback Control: With MATLAB and Simulink, Second Edition,Boris Lurie; Paul Enright

Intelligent Diagnosis and Prognosis of Industrial Networked Systems,Chee Khiang Pang; Frank L. Lewis; Tong Heng Lee; Zhao Yang Dong

Synchronization and Control of Multiagent Systems,Dong SunSubspace Learning of Neural Networks,Jian Cheng; Zhang Yi; Jiliu Zhou

Reliable Control and Filtering of Linear Systems with Adaptive Mechanisms,Guang-Hong Yang; Dan Ye

Reinforcement Learning and Dynamic Programming Using Function Approximators,Lucian Busoniu; Robert Babuska; Bart De Schutter; Damien Ernst

Modeling and Control of Vibration in Mechanical Systems,Chunling Du; Lihua Xie

Analysis and Synthesis of Fuzzy Control Systems: A Model-Based Approach,Gang Feng

Lyapunov-Based Control of Robotic Systems,Aman Behal; Warren Dixon; Darren M. Dawson; Bin Xian

System Modeling and Control with Resource-Oriented Petri Nets,MengChu Zhou; Naiqi Wu

Sliding Mode Control in Electro-Mechanical Systems, Second Edition,Vadim Utkin; Juergen Guldner; Jingxin Shi

Autonomous Mobile Robots: Sensing, Control, Decision Making and Applications,Shuzhi Sam Ge; Frank L. Lewis

Linear Control Theory: Structure, Robustness, and Optimization,Shankar P. Bhattacharyya; Aniruddha Datta; Lee H.Keel

Optimal Control: Weakly Coupled Systems and Applications,Zoran Gajic

Deterministic Learning Theory for Identification, Recognition, and Control,Cong Wang; David J. Hill

Intelligent Systems: Modeling, Optimization, and Control,Yung C. Shin; Myo-Taeg Lim; Dobrila Skataric; Wu-Chung Su; Vojislav Kecman

Doubly Fed Induction Generators

CONTROL FOR WIND ENERGY

Edgar N. Sanchez

CINVESTAV, Unidad Guadalajara, Zapopan, Jalisco, Mexico

Riemann Ruiz-Cruz

ITESO, Tlaquepaque, Jalisco, Mexico

CRC Press Taylor Francis Group 6000 Broken Sound Parkway NW Suite 300 Boca - photo 2

CRC Press

Taylor & Francis Group

6000 Broken Sound Parkway NW, Suite 300

Boca Raton, FL 33487-2742

2016 by Taylor & Francis Group, LLC

CRC Press is an imprint of Taylor & Francis Group, an Informa business

No claim to original U.S. Government works

Printed on acid-free paper
Version Date: 20160517

International Standard Book Number-13: 978-1-4987-4584-0 (Hardback)

This book contains information obtained from authentic and highly regarded sources. Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged please write and let us know so we may rectify in any future reprint.

Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers.

For permission to photocopy or use material electronically from this work, please access www.copyright.com (http://www.copyright.com/) or contact the Copyright Clearance Center, Inc. (CCC), 222 Rosewood Drive, Danvers, MA 01923, 978-750-8400. CCC is a not-for-profit organization that provides licenses and registration for a variety of users. For organizations that have been granted a photocopy license by the CCC, a separate system of payment has been arranged.

Trademark Notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation without intent to infringe.

Visit the Taylor & Francis Web site at
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and the CRC Press Web site at
http://www.crcpress.com

Dedication

To my wife Maria de Lourdes, and our children, Zulia Mayari, Ana Maria, and Edgar Camilo
Edgar N. Sanchez

To my parents Abel and Romelia, and my brothers Urania, Neretva, and Euclides for their provided support
To Marina Flores for all her love and patience during the writing of this book
Riemann Ruiz-Cruz

Contents

Due to the vast increase in renewable energy, research on this topic is very important. In particular, the use of wind energy has spread quickly across the planet, and has proved to be very profitable. Furthermore, caused by the unpredictable wind nature, wind energy presents many challenges, such as fluctuations in the generated power due to wind variations, complications to achieve efficient coupling to the grid, and limitations produced by mechanical generator oscillations, among others. These problems have led to the development of controllers, which are able to handle such situations. The purpose of this book is to provide a detailed source of information on modeling and design of nonlinear controllers for the doubly fed induction generator (DFIG), as used in wind energy applications.

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