Maximum Power Point Tracking for Brushless DC Motor-Driven Photovoltaic Pumping Systems Using a Hybrid ANFIS-FLOWER Pollination Optimization Algorithm

Maximum Power Point Tracking for Brushless DC Motor-Driven Photovoltaic Pumping Systems Using a Hybrid ANFIS-FLOWER Pollination Optimization Algorithm

In this research paper, a hybrid Artificial Neural Network (ANN)-Fuzzy Logic Control (FLC) tuned Flower Pollination Algorithm (FPA) as a Maximum Power Point Tracker (MPPT) is employed to amend root mean square error (RMSE) of photovoltaic (PV) modeling. Moreover, Gaussian membership functions have b...

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Bibliographic Details
Main Authors: Neeraj Priyadarshi, Sanjeevikumar Padmanaban, Lucian Mihet-Popa, Frede Blaabjerg, Farooque Azam
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Energies
Subjects:
ANFIS
artificial neural network
brushless DC motor
FPA
maximum power point tracking
photovoltaic system
root mean square error
Online Access:http://www.mdpi.com/1996-1073/11/5/1067

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