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Application of adaptive filters in active power filters

机译:自适应滤波器在有源电力滤波器中的应用

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This paper presents a new idea applied to adaptive filters for harmonic detection in shunt active power filters. Improve the speed of convergence of the adaptive filter and reduces the steady-state error are the finals objectives of the strategy. Two cases are presented and discussed, one with a finite impulse response (FIR) adaptive filter with 32 coefficients and another with an adaptive notch filter. The least mean square (LMS) algorithm was used to adjust the coefficients in the both cases. An algorithm based on Coulon oscillator principle was used to determine the load current amplitude and then modify the step-size value. Simulations using Matlab are presented to clarify the algorithm. Also practical implementation is performed using the DSP Texas Instruments TMS320F2812 and the experimental results depicted.
机译:本文提出了一种应用于自适应滤波器的新思想,用于自适应有源功率滤波器的谐波检测。提高自适应滤波器的收敛速度并减少稳态误差是该策略的最终目标。介绍并讨论了两种情况,一种情况是带有32个系数的有限冲激响应(FIR)自适应滤波器,另一种是带有自适应陷波滤波器的情况。在这两种情况下,都使用最小均方(LMS)算法来调整系数。使用基于库仑振荡器原理的算法确定负载电流幅度,然后修改步长值。提出了使用Matlab进行仿真以阐明算法。还使用DSP Texas Instruments TMS320F2812执行了实际实现,并描述了实验结果。

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