【摘要】 由于电力变压器ANC系统次级通道背景噪声的影响,使其辨识参数不能反映次级通道本身特性,影响整个降噪系统的降噪效果和收敛性能。论文首先以Fx-LMS算法为例,分析了辨识误差对算法收敛系数的影响。然后提出了一种次级通道背景噪声的去噪新方法,即将分时测量法与信号相关性分析结合,极大限度抑制了与激励信号频段相近的背景噪声影响。最后通过仿真计算证明去除背景噪声的效果明显,次级通道辨识精度显著提高。更多还原

【Abstract】 In secondary path identification of power transformer active noise control( ANC) system,the background noise makes identification parameters can’t reflect the characteristic of secondary path,which will affect the stability and convergence performance of the ANC system. Firstly,taking Fx-LMS algorithm as the example,this paper analyzed the effect of identification error on convergence coefficient. Then,a new de-noising method was presented by combining the time-sharing measurement method with signal correlation analysis,so that the influence of background noise close to the frequency spectrum of excitation signals is almost suppressed. The simulation calculation results demonstrate that the accuracy of identification is significantly improved,showing the effectiveness of the proposed method.更多还原