Doubly Fed Induction Generators Doubly Fed Induction Generators
Automation and Control Engineering

Doubly Fed Induction Generators

Control for Wind Energy

    • €229.99
    • €229.99

Publisher Description

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.

GENRE
Science & Nature
RELEASED
2016
5 August
LANGUAGE
EN
English
LENGTH
172
Pages
PUBLISHER
CRC Press
SIZE
5.8
MB
Nonlinear Pinning Control of Complex Dynamical Networks Nonlinear Pinning Control of Complex Dynamical Networks
2021
Discrete-Time Recurrent Neural Control Discrete-Time Recurrent Neural Control
2018
Neural Control of Renewable Electrical Power Systems Neural Control of Renewable Electrical Power Systems
2020
Discrete-Time Inverse Optimal Control for Nonlinear Systems Discrete-Time Inverse Optimal Control for Nonlinear Systems
2017
Decentralized Neural Control: Application to Robotics Decentralized Neural Control: Application to Robotics
2017
Advances in Computational Intelligence Advances in Computational Intelligence
2009
Advances in Missile Guidance, Control, and Estimation Advances in Missile Guidance, Control, and Estimation
2016
Fuzzy Controller Design Fuzzy Controller Design
2018
Analysis and Synthesis of Fuzzy Control Systems Analysis and Synthesis of Fuzzy Control Systems
2018
Subspace Learning of Neural Networks Subspace Learning of Neural Networks
2018
Control of Nonlinear Systems Control of Nonlinear Systems
2024
Distributed Adaptive Consensus Control of Uncertain Multi-Agent Systems Distributed Adaptive Consensus Control of Uncertain Multi-Agent Systems
2024