Neural networks-based control strategy for single-phase shunt active power filter

被引：0

作者：

Rong Yuanjie ^{[1
]}

Tang Honghai ^{[1
]}

Zheng Xuesheng ^{[1
]}

Wang Rongrong ^{[1
]}

Li Chunwen ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China

来源：

PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 6 | 2007年

关键词：

active power filter(APF); neural networks; NARMA; NARMA-L2; feedback linearization;

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：

Active power filter(APF) will be the main device in harmonic elimination in future, and the control strategies for APF were generally based on the simplified mathematical models and seldom took the system parametric variation in consideration. Thus the system will destabilize, a novel control strategy based on neural networks is proposed. Discussions on the design of NARMA-L2 model-based controller adopting feedback linearization principle are given. The controller not only discards the system model building, owns a good dynamic response and robustness, but also is convenient for engineering practice. Simulation results are included to demonstrate the effectiveness of the proposed control strategy.

引用

页码：171 / +

页数：2

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