Dynamic Terminal Sliding-Mode Control for Single-Phase Active Power Filter Using New Feedback Recurrent Neural Network

In this article, an adaptive dynamic terminal sliding-mode controller using a double hidden layer recurrent neural network (DHL-RNN) structure for a single-phase active power filter (APF) is proposed to improve harmonic compensation performance. First, a method combining dynamic sliding mode and ter...

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Bibliographic Details
Published in:	IEEE transactions on power electronics Vol. 35; no. 9; pp. 9904 - 9922
Main Authors:	Fei, Juntao, Chen, Yun
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.09.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Active control Active filters Active power filter (APF) Adaptive filters Biological neural networks Compensation Computer simulation Controllers double hidden layer recurrent neural network (DHL-RNN) dynamic terminal sliding-mode control (DTSMC) hardware-in-the-loop Harmonic analysis Neural networks Nonlinear control Nonlinear dynamical systems Nonlinear dynamics Power harmonic filters Recurrent neural networks Sliding mode control
ISSN:	0885-8993, 1941-0107
Online Access:	Get full text
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