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An adaptive radial basis function neural network (RBFNN) control of energy storage system for output tracking of a permanent magnet wind generator

The converters of a permanent magnet synchronous generator have to be properly controlled to achieve maximum transfer of energy from wind. To achiev e this goal, this article employs an energy storage device consisting of an energy capacitor interfaced through a vol...

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Bibliographic Details
Main Author: Abu H. M. A. Rahim
Format: Artigo
Language:Inglês
Published: Maejo University 2014-03-01
Series:Maejo International Journal of Science and Technology
Subjects:
Online Access:http://www.mijst.mju.ac.th/vol8/58-74.pdf
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