Decoupling Control of Three-Phase Shunt Active Power Filter Based on Neural Network Inverse

被引：0

作者：

Yang Chenxing ^{[1
]}

Liu Guohai ^{[1
]}

Chen Zhaoling ^{[1
]}

机构：

[1] Jiangsu Univ, Coll Elect & Informat Engn, Zhenjiang 212013, Peoples R China

来源：

2013 32ND CHINESE CONTROL CONFERENCE (CCC) | 2013年

关键词：

three-phase shunt active power filter (SAPF); neural network inverse (NNI); radical basis function neural network (RBFNN); decoupling control; linear closed-loop controller; proportional-integral controller (PIC); PERFORMANCE;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes a new control method for three-phase shunt active power filter (SAPF) by applying neural network inverse (NNI). The key of the proposed method is to decouple the SAPF system under the synchronous orthogonal d-q frame into two one-order linear subsystems, which concern the compensation current components. In addition, the linear closed-loop controllers are designed, respectively, for two compensation current components. Simulated results verify that by adopting the proposed method, the system has both good steady-state and dynamic performances. After the compensation, the total harmonic distortion (THD) of the power source currents in steady state is reduced from 25.57% to 1.23%.

引用

页码：1027 / 1030

页数：4

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