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An Improved Variable Step Size LMS Harmonic Current Detection Method for Active Power Filter

机译:用于有源电力滤波器的改进的可变步长LMS谐波电流检测方法

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With the development of adaptive filter theory, many adaptive filtering techniques are used for harmonic current detection, and achieve some good results. But it is difficult to detect harmonic current in the low signal-to-noise ratio (SNR) condition when using conventional algorithms. Based on adaptive noise cancellation theory, this paper proposed a modify variable step size least mean square (MVSS-LMS) algorithm for harmonic current detection. The step size of the proposed method is controlled by the improved generic Sigmoid function relationship with the error signal. The MVSS-LMS has fast convergence and good tracking performance of fundamental and harmonic components from distorted signals, and simulation results prove the algorithm having a good feature.
机译:随着自适应滤波器理论的发展,许多自适应滤波技术用于谐波电流检测,实现一些良好的效果。但是当使用传统算法时,难以检测低信噪比(SNR)条件的谐波电流。基于自适应噪声消除理论,本文提出了一种改进变量步长均线(MVSS-LMS)谐波电流检测算法。所提出的方法的步长由与误差信号的改进的通用S形函数关系来控制。 MVSS-LMS具有快速收敛性和良好的跟踪性能,对扭曲信号的基本和谐波分量的良好跟踪性能,仿真结果证明了具有良好特征的算法。

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