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并联有源电力滤波器的神经网络预测控制
引用本文:吕征宇,钱照明,T C Green.并联有源电力滤波器的神经网络预测控制[J].中国电机工程学报,1999,19(12):22-26.
作者姓名:吕征宇  钱照明  T C Green
作者单位:1. 浙江大学电机工程系,310027,杭州
2. 英国帝国理工学院电气电子工程系
摘    要:针对速度、负和矩频繁变动的三相可控整流的直流电机驱动装置,提出了一种基于神经网络的并联有源滤波器预测控制方案。通过预测负载网侧输入电流的基波成分,控制有源滤波器产生用以抵消非线性负载的谐波电流。神经网络所需的输入信号为罗易获得的负载装置地信息,诸如可控整流桥的触发角、电机电枢电压和整流器交流测电流等。

关 键 词:有源电力滤波器  神经网络  预测控制  电网  仿真

A PREDICTED CONTROL SCHEME OF SHUNT ACTIVE POWER FILTER WITH ARTIFICIAL NEURAL NETWORK
Lü Zhengyu,Qian Zhaoming,T C Green.A PREDICTED CONTROL SCHEME OF SHUNT ACTIVE POWER FILTER WITH ARTIFICIAL NEURAL NETWORK[J].Proceedings of the CSEE,1999,19(12):22-26.
Authors:Lü Zhengyu  Qian Zhaoming  T C Green
Abstract:A predicted control scheme of shunt active power filter with artificial neural network has been presented in this paper, which is suitable to the motor driver with frequent speed/torque changes. On the based of artificial neural network, the active power filter can work properly to cancel load's line harmonic current. Only few readily available parameters are used in the method.
Keywords:artificial neural network  harmonic current  active power filter
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