Neural Network Based Maximum Power Point Tracking Control with Quadratic Boost Converter for PMSG—Wind Energy Conversion System

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...

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Bibliographic Details
Main Authors: Ramji Tiwari, Kumar Krishnamurthy, Ramesh Babu Neelakandan, Sanjeevikumar Padmanaban, Patrick William Wheeler
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Electronics
Subjects:
DC/DC converter
SEPIC converter
MPPT
RBFN
neural networks
permanent magnet synchronous generator
Online Access:http://www.mdpi.com/2079-9292/7/2/20

Internet

http://www.mdpi.com/2079-9292/7/2/20

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