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Vector Fitting-Based Calculation of Frequency-Dependent Network Equivalents by Frequency Partitioning and Model-Order Reduction

机译:基于矢量拟合的频率划分和模型降阶计算频率相关网络等效

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This paper presents a methodology to identify a frequency-dependent network equivalent from a highly resonant frequency response and in a broad range of frequencies. Primarily, the identification process consists on dividing the complete frequency range into a number of subranges either uniformly spaced or by containing an equal number of resonance peaks. Vector fitting (VF) is then applied to each subrange, yielding an accurate local approximation. A refinement of the local set of partial fractions is made through model-order reduction to remove spurious (redundant) poles. The final equivalent comprises a reduced number of poles, keeping the computational load lower than when applying VF to the whole range of frequencies while giving a similar rms error. An illustrative example involving a transmission system is presented for validation of the procedures above.
机译:本文提出了一种方法,可以从高度共振的频率响应和宽范围的频率中识别出与频率相关的网络等效物。首先,识别过程包括将整个频率范围划分为均匀分布或包含相等数量的共振峰的多个子范围。然后将向量拟合(VF)应用于每个子范围,从而得出准确的局部近似值。通过模型阶数减少以消除虚假(冗余)极点,对局部部分集的局部集进行了细化。最终的等效项包括减少的极点数,从而使计算负荷低于将VF应用于整个频率范围时所产生的均方根误差。提出了涉及传输系统的说明性示例,以验证上述过程。

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