| 基于自适应算法的谐波检测方法研究 |
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| 引用本文： | 彭咏龙,张坤锋,李亚斌,杨朋凯,黄江浩. 基于自适应算法的谐波检测方法研究[J]. 电测与仪表, 2018, 55(9): 6-9 |
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| 作者姓名： | 彭咏龙 张坤锋 李亚斌 杨朋凯 黄江浩 |
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| 作者单位： | 华北电力大学电气与电子工程学院,华北电力大学电气与电子工程学院,华北电力大学电气与电子工程学院,华北电力大学电气与电子工程学院,华北电力大学电气与电子工程学院 |
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| 摘 要： | 由于低通滤波器的影响,传统的ip-iq算法有检测速度慢的缺点,针对此缺点,本文提出了一种基于变步长LMS/LMF算法自适应滤波器来代替低通滤波器的作用,针对输入信号的特点相应的改变自适应滤波器的步长因子,同时改变最小均方算法(LMS)和最小四阶矩算法(LMF)的比例,充分发挥了LMF和LMS检测精度和检测速度的优势。仿真结果表明,提出的算法检测速度和精度具有明显的优势,具有一定的工程应用价值。
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| 关 键 词： | 谐波检测 自适应滤波 变步长LMS/LMF算法 ip-iq算法 |
| 收稿时间： | 2017-05-15 |
| 修稿时间： | 2017-06-25 |
Research on harmonic detection method based on adaptive algorithm |
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| Peng Yonglong,Zhang Kunfeng,Li Yabin,Yang Pengkai and Huang Jianghao. Research on harmonic detection method based on adaptive algorithm[J]. Electrical Measurement & Instrumentation, 2018, 55(9): 6-9 |
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| Authors: | Peng Yonglong Zhang Kunfeng Li Yabin Yang Pengkai Huang Jianghao |
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| Affiliation: | School of Electrical and Electronic Engineering,North China Electric Power University,School of Electrical and Electronic Engineering,North China Electric Power University,School of Electrical and Electronic Engineering,North China Electric Power University,School of Electrical and Electronic Engineering,North China Electric Power University,School of Electrical and Electronic Engineering,North China Electric Power University |
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| Abstract: | According to the disadvantage of slow detection speed of the traditional ip-iq algorithm due to the low pass filter,the paper proposes a variable step size LMS/LMF adaptive filter algorithm.The adaptive filter can not only change the step size according to the change of original signal, but also change the proportion of the Least Mean Square(LMS) algorithm and the Least Four-order Moment (LMF) algorithm,which makes the advantages of high detection accuracy of LMF and high detection speed of LMS fully played. The simulation results show that the proposed algorithm is effective, and the speed of harmonic current is improved obviously. |
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| Keywords: | harmonic Detection, adaptive Filter, variable Step LMS/LMF Algorithm, ip-iq algorithm#$NL |
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