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有源电力滤波器神经网络逆解耦控制

刘国海 杨辰星 陈兆岭

电力系统保护与控制Issue(5):23-29,7.
电力系统保护与控制Issue(5):23-29,7.

有源电力滤波器神经网络逆解耦控制

Decoupling control of active power filter based on neural network inverse

刘国海 1杨辰星 1陈兆岭1

作者信息

  • 1. 江苏大学电气信息工程学院,江苏 镇江 212013
  • 折叠

摘要

Abstract

Three-phase shunt active power filter is a multiple-input multiple-output nonlinear system, in which a coupling relationship exists between the compensation current components under the synchronous orthogonal d-q frame. A new decoupling control method for active power filter by employing neural network inverse is proposed. By adopting the static neural network inverse control method, the three-phase shunt active power filter is decoupled into two one-order linear subsystems, which concern the compensation current components. Then, the linear closed-loop controllers are designed to control the compensation current components respectively. Simulation results verify that by applying the proposed control method, the system has both good steady-state and dynamic performances. After the compensation, the total harmonic distortion of the power source currents in steady state is less than 2%.

关键词

有源电力滤波器/神经网络逆/模型线性化/解耦控制/线性闭环控制器

Key words

active power filter/neural network inverse/model linearization/decoupling control/linear closed-loop controller

分类

信息技术与安全科学

引用本文复制引用

刘国海,杨辰星,陈兆岭..有源电力滤波器神经网络逆解耦控制[J].电力系统保护与控制,2013,(5):23-29,7.

基金项目

江苏省高校自然科学基金资助项目(10KJB470003) (10KJB470003)

江苏高校优势学科建设工程资助项目(苏政办发(2011)6号) (苏政办发(2011)

电力系统保护与控制

OA北大核心CSCDCSTPCD

1674-3415

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