Self-Constructing Fuzzy-Neural-Network-Imitating Sliding-Mode Control for Parallel-Inverter System in Grid-Connected Microgrid

Self-Constructing Fuzzy-Neural-Network-Imitating Sliding-Mode Control for Parallel-Inverter System in Grid-Connected Microgrid

This study mainly develops a self-constructing fuzzy neural network (SFNN) with the structure and parameter self-learning abilities to imitate a sliding-mode control (SMC), and implements the grid-connected current tracking control for a parallel-inverter system in a grid-connected microgrid (MG) wi...

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Bibliographic Details
Main Authors: Yan Yang, Rong-Jong Wai
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Parallel-inverter system
microgrid
fuzzy neural network
self-constructing
adaptive control
Online Access:https://ieeexplore.ieee.org/document/9652408/

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