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Consistency Between Two Adaptive Detection Methods for Harmonic and Reactive Currents

机译:谐波和无功电流的两种自适应检测方法之间的一致性

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摘要

The hardware-circuit-realized adaptive method (HCAM) and neuron-based adaptive algorithm (NAA) are two typical adaptive detection methods for harmonic and reactive currents. HCAM and NAA have the same detection principle (adaptive noise-canceling technology and a strong adaptive ability). In this letter, the algorithm of HCAM is obtained according to its detection circuit, whereas the simplest NAA is derived from a NAA. A comparison of the algorithm of HCAM with the simplest NAA shows that they are the same. This is the consistency between HCAM and NAA. The accuracy of this consistency is validated by simulation and experimental results.
机译:硬件电路实现的自适应方法(HCAM)和基于神经元的自适应算法(NAA)是两种用于谐波和无功电流的典型自适应检测方法。 HCAM和NAA具有相同的检测原理(自适应降噪技术和强大的自适应能力)。在这封信中,HCAM的算法是根据其检测电路获得的,而最简单的NAA是从NAA派生的。 HCAM算法与最简单的NAA的比较表明它们是相同的。这就是HCAM和NAA之间的一致性。仿真和实验结果验证了这种一致性的准确性。

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