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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| Format: | Article |
| Language: | English |
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Maejo University
2014-03-01
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| Series: | Maejo International Journal of Science and Technology |
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| Online Access: | http://www.mijst.mju.ac.th/vol8/58-74.pdf |