Neural network based maximum power point tracking control with quadratic boost converter for PMSG—wind energy conversion system
This paper proposes an artificial neural network (ANN) based maximum power point tracking (MPPT) control strategy for wind energy conversion system (WECS) implemented with a DC/DC converter. The proposed topology utilizes a radial basis function network (RBFN) based neural network control strategy t...
| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
MDPI
2018
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| Online Access: | https://eprints.nottingham.ac.uk/50298/ |