DSP采用自适应神经网络谐波提取控制并联有源滤波器

38th IAS Annual Meeting on Conference Record of the Industry Applications Conference, 2003. Pub Date : 2003-10-12 DOI:10.1109/IAS.2003.1257705

M. Rukonuzzaman, K. Nishida, M. Nakaoka

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引用次数: 13

摘要

电流谐波是带电感或电容滤波器的三相二极管桥式整流器的主要问题，必须对非线性负载中存在的谐波进行补偿，以保持电源电流的正弦波，避免不必要的谐波。本文采用一种新的信号处理技术——自适应神经网络来确定非线性负载中的总谐波电流。该技术可以实时确定谐波电流，并通过基于DSP的三相并联有源滤波器实验装置验证了其有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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DSP control shunt APF with harmonic extraction by adaptive neural network

Current harmonics are the major concern in three-phase diode bridge rectifier with inductor or capacitor filters and it is necessary to compensate the harmonics exist in the nonlinear load to keep the utility supply current sinusoidal and free from undesired harmonics. In this paper, a novel signal processing technique with adaptive neural network is applied to determine the total harmonic current in the nonlinear load. The technique can determine the harmonic current in real time and its effectiveness is substantiated with DSP based experimental setup in three-phase shunt active power filter.

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38th IAS Annual Meeting on Conference Record of the Industry Applications Conference, 2003.

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