基于神经网络的单相有源滤波器

有源滤渡器的控制是一个典型的非线性控制过程．非常适合用神经网络来实现．本文提出了一种应用于有源滤波器系统的神经网络控制器，神经网络控制器的输入是负载电流和补偿电流。输出是开关控制信号甩于控制有源滤波器产生补偿电流来抵消非线性负载的畸变电流。基于MATLAB/SIMULINK平台．建立了单相有源滤波器仿真模型．仿真结果表明所提出的神经网络控制器的有效性。

Neural Network-based Single Phase Active Filter

An active power filter control process is a typical nonlinear system, which is suitable for being implemented by neural networks (NN). A neural network controller for active power filter (APF) is presented in this paper. The NN controller inputs include load currents and compensation currents, and the outputs are switch control signals. The active power filter is controlled to generate compensation currents to reduce distortion currents caused by nonlinear loads. Based on the Matlab/Simulink platform a simulation model is established and the proposed NN controller is verified by simulations.