基于离散频率自适应梳状滤波器的时变谐波分析

针对直流分量与多个谐波及间谐波分量叠加的时变电力信号,采用一阶低通滤波器与多个归一化频率估计器并联形成偏置频率自适应梳状滤波器,以快速准确估计直流分量以及每个谐波与间谐波分量的频率和幅值。算法的带宽参数与频率自适应增益分别对幅值与频率的收敛速度及估计精度具有不同的影响。利用经典四阶龙格-库塔方法获得相应的离散算法,并给出实现算法的程序结构。采用两个DSP系统组成实验系统,验证了算法的有效性。

Time Variant Harmonic Analysis Based on Discrete Frequency Adaptive Comb Filter

This paper proposes a biased frequency adaptive comb filter which is composed of a first-order low pass filter and multi normalized frequency estimators in parallel. The algorithm is used to estimate fast and precisely the bias component and the frequency and the amplitude of each harmonic/inter-harmonic component in the sum of direct current component and multi harmonic components. The bandwidth parameter and the frequency adaptive gain give different effects on the convergence speed and the precision of frequency estimation and amplitude estimation respectively. A discrete algorithm is obtained by us of classic fourth-order Runge-Kutta method, the program flow for realization of which is presented in this paper. The experiment results from an experimental system composed of two DSPs verify the validity of the proposed method.