This paper introduces a new algorithm for the generation of optimal time-domain macromodels of power distribution networks, starting from a set of tabulated scattering responses and given a nominal termination scheme for active blocks, decoupling capacitors, and voltage regulator module. The new concept being introduced is a modified metric to characterize and optimize the accuracy of the macromodel, which takes into account the operation conditions that will be applied to run transient simulations for power integrity assessment. This metric is applied through an iterative frequency-dependent reweighting scheme in a fully automated flow. Two examples illustrate the performance of the proposed algorithm.

An iterative reweighting process for macromodel extraction of power distribution networks / GRIVET TALOCIA, Stefano; UBOLLI MACCO, Andrea; Bandinu, Michelangelo; Chinea, Alessandro. - STAMPA. - (2013), pp. 125-128. (Intervento presentato al convegno 2013 IEEE 22nd Conference on Electrical Performance of Electronic Packaging and Systems tenutosi a San Jose (CA) USA nel October 27-30) [10.1109/EPEPS.2013.6703481].

An iterative reweighting process for macromodel extraction of power distribution networks

GRIVET TALOCIA, STEFANO;UBOLLI MACCO, ANDREA;BANDINU, MICHELANGELO;CHINEA, ALESSANDRO
2013

Abstract

This paper introduces a new algorithm for the generation of optimal time-domain macromodels of power distribution networks, starting from a set of tabulated scattering responses and given a nominal termination scheme for active blocks, decoupling capacitors, and voltage regulator module. The new concept being introduced is a modified metric to characterize and optimize the accuracy of the macromodel, which takes into account the operation conditions that will be applied to run transient simulations for power integrity assessment. This metric is applied through an iterative frequency-dependent reweighting scheme in a fully automated flow. Two examples illustrate the performance of the proposed algorithm.
2013
9781479907052
9781479907076
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2525138
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