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
收藏
页码：37454 / 37463
页数：10
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