摘要
针对强基波背景下微弱谐波信号的提取提出自适应正弦滤波方法,区别于传统的自适应数字滤波。自适应正弦滤波是将信号分解成不同频率的标准正余弦信号的线性组合,按照实际信号与所产生的标准信号最小均方准则,沿梯度方向自动调节各频率信号的权重以实现对实际信号的最佳逼近,滤波器输出各标准频率信号的权重,利用此收敛结果可直接得到所求谐波信号的幅值和相位。MATLAB仿真结果证明了该方法的准确性和有效性。
Adaptive sinusoidal filter method applying in the extraction of weak harmonic signal in the background of strong fundamental signal was proposed Different from the traditional digital adaptive filter, the new method decomposed signal into liner combination of signal with different frequency. Adjust coefficient of the signal automatically in order to get the optimum approximation to actual signal on the basis of minimum mean square error rule, then get the amplitude and phase of harmonic signal by the result of adaptive algorithm. MATLAB simulation proved the method was accurate and feasible.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2010年第2期99-102,共4页
Proceedings of the CSU-EPSA
关键词
谐波信号
自适应正弦滤波
定子接地故障
信号提取
harmonic signal
adaptive sinusoidal filter
stator ground fault
signal extracting