Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/88947
Type: Artigo de evento
Title: Implementation Of The Direct Power Control Of A Doubly Fed Induction Generator By Using A Takagi-sugeno Neuro-fuzzy Inference System
Author: Jacomini R.V.
Bim E.
Abstract: A Takagi-Sugeno neuro-fuzzy inference system for direct power control of a doubly fed induction generator is presented in this paper. The control variables - d-axis and q-axis rotor voltages - are determined by a control system that consists of a neuro-fuzzy inference system and a first order Takagi-Sugeno fuzzy logic controller. To validate the proposed strategy, experimental tests are made for the DFIG operating speed is slightly less than the synchronous speed. The operation of the generator with abrupt and linear changes in stator power and under variable or constant speeds are tested. © 2013 IEEE.
Editor: 
Rights: fechado
Identifier DOI: 10.1109/IECON.2013.6699245
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84893533024&partnerID=40&md5=2fcf4654d5051ca2ac2248478d802933
Date Issue: 2013
Appears in Collections:Unicamp - Artigos e Outros Documentos

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