Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/103588
Type: Artigo de periódico
Title: Control Of A Shunt Active Power Filter With Neural Networks - Theory And Practical Results
Author: Villalva M.G.
Filho E.R.
Abstract: This paper presents theoretical studies and practical results obtained with a four-wire shunt active power filter fully controlled with neural networks. The paper is focused on a. current compensation method based on adaptive linear elements (adalines), which are powerful and easy-to-use neural networks. The reader will find here an introduction about these networks, an explanatory section about the achievement of Fourier series with adalines, and the full description of an adaline-based selective current compensator. The paper also brings a quick discussion about the use of a feedforward neural network in the current controller of the active filter, as well as simulation and experimental results obtained with the prototype of an active power filter.
Editor: 
Rights: fechado
Identifier DOI: 10.1541/ieejias.126.946
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-33745769059&partnerID=40&md5=ae64e83d99e58198e3605c0fb63fb114
Date Issue: 2006
Appears in Collections:Unicamp - Artigos e Outros Documentos

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