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A Novel ANN-based Adaptive Harmonic Current Detecting Method for Active Power Filters

机译:一种用于有源电力滤波器的新型基于Ann的自适应谐波电流检测方法

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Harmonic current detecting is a key to improving the harmonic current compensation effects of Active Power Filter (APF). An adaptive harmonic currents detecting method based on ANN is presents in this paper. This method is brought forward via combining the adaptive noise canceling technology with artificial neural network (ANN), and an adaptive harmonic current detecting circuit, namely neuron is proposed in term of it. Not only its configuration is simple, but also its algorithm is easy to realize by analog hardware circuit. The simulation results show that the circuit not only is precise and fast, but also has well anti-jamming and adaptive characteristics. Moreover, the detection effects aren’t affected by power frequency excursion.
机译:谐波电流检测是提高有源电力滤波器(APF)的谐波电流补偿效果的关键。本文基于ANN的自适应谐波电流检测方法。通过将具有人工神经网络(ANN)的自适应噪声消除技术组合,并且在其术语中提出了一种自适应噪声消除技术,以及自适应谐波电流检测电路。不仅其配置简单,而且其算法也易于通过模拟硬件电路实现。仿真结果表明,电路不仅精确且快速,而且还具有良好的抗干扰和自适应特性。此外,检测效果不受电力频率偏移的影响。

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