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Reference Estimation Technique for Active Power Filters Using a Digital Kalman Algorithm

机译:使用数字卡尔曼算法的有源电力滤波器的参考估计技术

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This paper presents a new technique for the control of shunt active power filters for current harmonic compensation in power systems. A real-time digital Kalman filter is used to obtain the reference estimation of the control current. This algorithm provides the best estimate of the electrical magnitudes from their sampled values in a response time of less than one sampling interval. This adaptive algorithm allows the response to be obtained for sudden changes in current consumption in less than three sampling intervals, which means that it is possible to perform the attenuation of harmonics which vary rapidly with time. Its capacity for prediction avoids the delay in obtaining the control signal resulting from digital processing and thus minimizes cancellation errors. This technique is capable of performing the selective fading of harmonics, optimizing the use of the available power of the active filter. Experimental results for the proposed technique using a DSP based board are presented for different loads and supply voltage conditions.
机译:本文提出了一种用于控制电力系统电流谐波补偿的分流有源电力滤波器的新技术。实时数字卡尔曼滤波器用于获得控制电流的参考估计。该算法在响应时间的响应时间较少的采样间隔中提供了从它们的采样值的最佳估计。该自适应算法允许在少于三种采样间隔内突然变化的突然变化来获得响应,这意味着可以执行随时间快速变化的谐波的衰减。其预测能力避免了获得由数字处理产生的控制信号的延迟,从而最大限度地减少取消误差。该技术能够执行谐波的选择性衰落,优化使用有源滤波器的可用功率的使用。介绍了使用基于DSP基于DSP的电路板的所提出技术的实验结果,适用于不同的负载和电源电压条件。

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