Reduced-order modeling of large passive linear circuits by means of the SyPVL algorithm

R. Freund, P. Feldmann
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引用次数: 111

Abstract

This paper discusses the analysis of large linear electrical networks consisting of passive components, such as resistors, capacitors, inductors, and transformers. Such networks admit a symmetric formulation of their circuit equations. We introduce SyPVL, an efficient and numerically stable algorithm for the computation of reduced-order models of large, linear, passive networks. SyPVL represents the specialization of the more general PVL algorithm, to symmetric problems. Besides the gain in efficiency over PVL, SyPVL also preserves the symmetry of the problem, and, as a consequence, can often guarantee the stability of the resulting reduced-order models. Moreover, these reduced-order models can be synthesized as actual physical circuits, thus facilitating compatibility with existing analysis tools. The application of SyPVL is illustrated with two interconnect-analysis examples.
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基于SyPVL算法的大型无源线性电路降阶建模
本文讨论了由电阻、电容、电感和变压器等无源元件组成的大型线性电网的分析。这种网络允许其电路方程的对称形式。我们介绍了一种高效且数值稳定的算法SyPVL,用于计算大型线性无源网络的降阶模型。SyPVL代表了更通用的PVL算法对对称问题的专门化。除了比PVL效率更高之外,SyPVL还保留了问题的对称性,因此,通常可以保证所得到的降阶模型的稳定性。此外,这些降阶模型可以合成为实际的物理电路,从而促进与现有分析工具的兼容性。通过两个互连分析实例说明了SyPVL的应用。
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