DC-Link Voltage Regulation Using RPFNN-AMF for Three-Phase Active Power Filter

被引：17

作者：

Tan, Kuang-Hsiung ^{[1
]}

Lin, Faa-Jeng ^{[2
]}

Chen, Jun-Hao ^{[2
]}

机构：

[1] Natl Def Univ, Chung Cheng Inst Technol, Dept Elect & Elect Engn, Taoyuan 335, Taiwan

[2] Natl Cent Univ, Dept Elect Engn, Taoyuan 320, Taiwan

来源：

IEEE ACCESS | 2018年 / 6卷

关键词：

Shunt active power filter; total harmonic distortion; asymmetric membership function; recurrent probabilistic fuzzy neural network; FUZZY NEURAL-NETWORK; PATH-TRACKING; SYSTEM; CLASSIFICATION; COMPENSATION; CONTROLLER; DRIVE;

D O I：

10.1109/ACCESS.2018.2851250

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Due to the instantaneous power following into or out of the DC-link capacitor in a three-phase shunt active power filter (APF), the DC-link voltage regulation control plays an important role in the shunt APF especially under nonlinear load change. In this paper, for the purpose of improving the DC-link voltage regulation control in the shunt APF under nonlinear load variation and reducing the total harmonic distortion of the current effectively, a novel recurrent probabilistic fuzzy neural network with an asymmetric membership function (RPFNN-AMF) controller is developed to substitute for the conventional proportional-integral controller. Moreover, the network structure, the online learning algorithm, and the convergence analysis of the proposed RPFNN-AMF are detailedly introduced. Finally, the effectiveness and feasibility of the shunt APF using the proposed RPFNN-AMF controller for the DC-link voltage regulation control and the compensation of harmonic current are verified by some experimental results.

引用

页码：37454 / 37463

页数：10

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