Adaptive Global Fast Terminal Sliding Mode Control of Grid-connected Photovoltaic System Using Fuzzy Neural Network Approach

Adaptive Global Fast Terminal Sliding Mode Control of Grid-connected Photovoltaic System Using Fuzzy Neural Network Approach

In this paper, an adaptive global fast terminal sliding mode control method using fuzzy-neural-network (FNN) is proposed for a single-phase photovoltaic (PV) grid-connected transformerless system that is mainly composed of a boost chopper and a dc-ac inverter. A maximum power point tracking is accom...

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Bibliographic Details
Main Authors: Yunkai Zhu, Juntao Fei
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Grid-connected inverter
terminal sliding mode
PV
MPP
fuzzy-neural-network
Online Access:https://ieeexplore.ieee.org/document/7934121/

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