基于傅立叶级数的自适应谐波检测算法
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上海理工大学光电信息与计算机工程学院上海200093

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TM935

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上海市张江国家自主创新重点项目(201310PIB2008)、沪江基金(C14002)


Adaptive harmonic detection algorithm based on fourier series
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University of Shanghai for Science and Technology,Shanghai 200093,China

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    摘要:

    传统的自适应谐波检测都是采用含有积分器的噪声对消原理,而对含有交流分量的信号积分导致得到的直流信号存在脉动。针对这一问题,本文在自适应算法的基础上,提出了基于傅立叶级数的自适应谐波检测算法。运用傅立叶级数的分解原理,通过自适应算法快速修正傅立叶级数的各次系数值,分解出基波有功和无功电流的幅值,再将基波有功和无功电流的幅值分别与锁相环所得的与电压同相位的单位正余弦信号相乘得到基波有功和无功电流。仿真结果表明本文提出的方法能快速准确地得到稳定的基波有功和无功电流的幅值,抑制了直流信号的脉动。

    Abstract:

    Noise cancellation is used in the traditional adaptive harmonic detection algorithm containing integrator, but the direct signal which is gained from integrating the original signal containing active components will fluctuate. In order to handle this issue, this paper proposes an adaptive harmonic detection algorithm based on Fourier series. Applying the decomposition principle of Fourier series, the adaptive algorithm is used to correct the coefficients of every order’s Fourier series, and then the fundamental active and reactive current amplitudes are gained. The fundamental active and reactive current can be calculated by multiplying the fundamental active and reactive current amplitudes respectively with the unit sin and cos signals which are output by PLL. The simulation proves that the method proposed in this paper can fast detect the fundamental active and reactive current amplitudes steady and depress the ripple of DC signal.

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马立新,周磊,王亮,张海兵.基于傅立叶级数的自适应谐波检测算法[J].电子测量技术,2016,39(3):34-37

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  • 在线发布日期: 2016-04-28
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