Adaptive Neural Network Based Harmonic Detection for Active Power Filter (Energy in Electronics Communications)

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概要

• 論文の詳細を見る

• A novel signal processing technique using adaptive neural network algorithm is applied for the on-line detection of harmonic current components generated by nonlinear current loads in the single-phase diode bridge rectifier and it can efficiently determine the harmonic current components in real time. The validity of this active filtering processing system to compensate current harmonics is proved on the basis of simulation results.

• 社団法人電子情報通信学会の論文
• 2003-05-01

著者

• Rukonuzzaman Md.

  Power Electronics Laboratory Yamaguchi University

• NAKAOKA Mutsuo

  Power Electronics Laboratory, Yamaguchi University

• Nakaoka Mutsuo

  Power Electronics Laboratory Yamaguchi University

関連論文

• Adaptive Neural Network Based Harmonic Detection for Active Power Filter (Energy in Electronics Communications)
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• DSP Controlled Shunt Active Power Filter with New Harmonic Current Extraction Process

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