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有源电力滤波器的动态因子LMS谐波检测方法 被引量:14

Dynamic factor LMS algorithm for APF harmonic detection
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摘要 针对自适应谐波电流检测方法收敛速度与稳态精度需折中考虑的问题,采用单相并联有源电力滤波器(APF)作为硬件平台。基于自适应噪声对消技术,提出一种用于APF谐波检测的动态因子最小均方(LMS)算法。通过引入动量项,并利用误差信号在相邻时刻的时间均值估计来控制步长更新,极大加快了算法的收敛速度。采用动态因子项对误差再次进行调解,并对该算法进行了性能分析。仿真和APF动态模拟实验分析表明,该算法不仅具有较快的动态响应速度,而且在低信噪比情况下的稳态失调大幅减小,增强了对噪声的抗干扰性。 The single-phase shunt APF is taken as the hardware platform in studying the balance between convergence speed and steady state accuracy of adaptive harmonic current detection algorithm.The dynamic factor least mean square based on the adaptive noise cancellation technology is proposed to detect APF harmonics.The momentum term is introduced and the estimated mean of error signal in adjacent time point is used to control the updating of step size,which greatly increases the convergence speed.The dynamic factor term is applied to adjust the error again.Performance analysis is carried out for the proposed algorithm.Simulation and APF experiments show its faster dynamic response,less steady state offset under low SNR conditions and better anti-noise capability.
出处 《电力自动化设备》 EI CSCD 北大核心 2011年第4期91-95,共5页 Electric Power Automation Equipment
基金 国家高技术863发展计划(2008AA04Z129) 国家自然科学基金资助项目(60504010)~~
关键词 有源电力滤波器 动态因子 最小均方 自适应噪声对消 APF dynamic factor least mean square adaptive noise cancellation
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参考文献14

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