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
收藏
页码：1027 / 1030
页数：4
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