用于APF的神经网络自适应谐波电流检测方法

介绍了一种应用于有源电力滤波器APF(Active Power Filter)的神经网络自适应谐波电流检测方法。该方法应用自适应噪声抵消技术ANCT(Adaptive Noise Canceling Technology)，将基波电流作为噪声信号，从负载电流中滤除，得到谐波电流。采用两层人工神经网络实现噪声抵消。阐述了该神经网络的构造和权值自适应调整算法，应用Matlab对该方法进行了仿真研究。仿真结果表明该方法能够实时准确地检测谐波．而且计算量小．具有较强的自适应能力。

A neural network adaptive detecting approach of harmonic current

A neural network adaptive detecting approach of harmonic current for APF(Active Power Filter) is proposed in this paper. It bases on the ANCT(Adaptive Noise Canceling Technolo-gy). Regarding the fundamental current as noise source,it can be cancelled from the load current,then the hamonic current is obtained. ANN(Artificial Neural Network) with two layers is used to cancel the harmonics. The structure of this neural network and the adaptive adjusting algorithm are presented. The simulation studies are carried out by using Matlab. The simulation results show that this approach can detecte harmonic components at real time with high precision,little calculation and strong adaptive ability.