A Neural Network Approach For The Direct Power Control Of A Doubly Fed Induction Generator

dc.creatorDe Marchi R.A.
dc.creatorVon Zuben F.J.
dc.creatorBim E.
dc.date2011
dc.date2015-06-30T20:28:55Z
dc.date2015-11-26T14:50:03Z
dc.date2015-06-30T20:28:55Z
dc.date2015-11-26T14:50:03Z
dc.date.accessioned2018-03-28T22:01:13Z
dc.date.available2018-03-28T22:01:13Z
dc.identifier9781457716447
dc.identifierCobep 2011 - 11th Brazilian Power Electronics Conference. , v. , n. , p. 38 - 43, 2011.
dc.identifier
dc.identifier10.1109/COBEP.2011.6085172
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84255169907&partnerID=40&md5=8974d82393a2850aca5ccd1bfaaca35a
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/108103
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/108103
dc.identifier2-s2.0-84255169907
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1254072
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionThis paper presents a direct power control strategy for a doubly fed induction generator using a Multilayer Perceptron controller. The controller generates the direct- and quadrature-axis rotor voltage signals without the necessity of current controllers. The proposed control strategy allows the converter that is connected to the rotor terminals to operate with constant switching frequency. Digital simulation results are performed for a 2MW DFIG controller. With this controller, experimental and digital simulation tests for a 2.2 kW machine running in a subsynchronous speed are presented to validate the proposed control. © 2011 IEEE.
dc.description
dc.description
dc.description38
dc.description43
dc.descriptionCAPES,Cons. Nac. Desenvolv. Cient. Tecnol. (CNPq),CREDSUPER/UNICRED - Filiada ao Sistema,IEEE Power Electronics Society (PELS),FAPERN
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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dc.languageen
dc.publisher
dc.relationCOBEP 2011 - 11th Brazilian Power Electronics Conference
dc.rightsfechado
dc.sourceScopus
dc.titleA Neural Network Approach For The Direct Power Control Of A Doubly Fed Induction Generator
dc.typeActas de congresos


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