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Advancements in the identification of passive RC networks for compact modeling of thermal effects in electronic devices and systems

机译:用于电子设备和系统中热效应的紧凑建模的无源RC网络识别的进展

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摘要

We deal with the problem of identifying the parameters of an equivalent lumped RC multiport network from time domain tabulated data of a corresponding distributed real eigenvalues problem, as obtained from either measurements or accurate simulation tools. A novel step response matrix identification procedure is proposed, based on the combination of an outer nonlinear least squares iteration for the relocation of time constants, and an inner convex programming cycle for the identification of the corresponding residue matrix terms, able to guarantee a priori the passivity property of the equivalent RC network. The structure of the algorithm and its principal functions connections are shown, and the mathematical features of the proposed formulation of the identification problem are accurately described and commented. Moreover, the possibility of getting direct synthesis of a Foster generalized concretely passive multiport, as a consequence of the optimal identification of a passive real eigenvalues model from data, is discussed. Since the technique is well suited (although not limited) to the reduced analysis of typical electro-thermal problems, a set of significant case studies in this area is considered. In this way the algorithm present implementation is validated, also comparing it to previous well assessed methods, evidencing its large potential and value.
机译:我们处理的问题是,从测量或精确仿真工具获得的相应分布实特征值问题的时域列表数据中,确定等效的集总RC多端口网络的参数。提出了一种新颖的阶跃响应矩阵识别程序,该方法将外部非线性最小二乘迭代用于时间常数的重新定位,以及内部凸编程循环用于识别相应的残差矩阵项,从而能够保证先验的组合。等效RC网络的无源特性。给出了算法的结构及其主要功能的联系,并准确描述和说明了所提出的识别问题公式的数学特征。此外,讨论了根据数据对被动实特征值模型进行最佳识别的结果,可以直接合成Foster广义的具体被动多端口的可能性。由于该技术非常适合(尽管不限于)简化的典型电热问题分析,因此考虑了该领域的一系列重要案例研究。通过这种方式,可以验证算法的当前实现,并将其与以前的经过充分评估的方法进行比较,证明其巨大的潜力和价值。

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