Neural Network Complementary Sliding Mode Current Control of Active Power Filter

Neural Network Complementary Sliding Mode Current Control of Active Power Filter

This study proposed an adaptive Radical Basis Function (RBF) neural control strategy with a complementary sliding mode approach to compensate the harmonic current in an Active Power Filter (APF). A backstepping algorithm is incorporated to simplify the design procedure. Meanwhile, a complementary sl...

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Bibliographic Details
Main Authors: Juntao Fei, Nixuan Liu, Shixi Hou, Yunmei Fang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
RBF neural network
complementary sliding mode
backstepping control
Online Access:https://ieeexplore.ieee.org/document/9343841/

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