Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/76109
Type: Artigo de periódico
Title: A Multilayer Perceptron Controller Applied to the Direct Power Control of a Doubly Fed Induction Generator
Author: de Marchi, RA
Dainez, PS
Von Zuben, FJ
Bim, E
Abstract: This paper presents a direct power control strategy for a doubly fed induction generator by using an artificial neural network controller with the multilayer perceptron structure. This controller generates the direct-and quadrature-axis rotor voltage signals from both the stator current and voltage that are measured by the Hall sensors. The input variables of the control system are the rotor speed, the active and reactive power references, and their respective errors. The proposed control strategy allows the converter connected to the rotor terminals to operate with constant switching frequency. Digital simulation and experimental tests are performed for a 2.25-kW doubly fed induction generator to validate the proposed control strategy.
Subject: Artificial neural network (ANN)
constant switching frequency
direct power control (DPC)
doubly fed induction generator (DFIG)
multilayer perceptron (MLP)
Country: EUA
Editor: Ieee-inst Electrical Electronics Engineers Inc
Rights: fechado
Identifier DOI: 10.1109/TSTE.2013.2293621
Date Issue: 2014
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.