Parameterized model order reduction for efficient time and frequency domain global sensitivity analysis of PEEC circuits

L. De Camillis, G. Antonini, F. Ferranti

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

This paper presents a new parameterized model order reduction technique to efficiently perform global time- and frequency-domain sensitivity analysis of electromagnetic systems over the design space of interest. The partial element equivalent circuit (PEEC) method is adopted to build the electromagnetic system model at a set of initial samples in the design space. The block Laguerre-SVD algorithm is proposed to reduce the size of the original equations of the PEEC-based equivalent circuit along with those describing the port voltage and current sensitivities. Then, a multivariate cubic spline interpolation method is used to build a parameterized compact model of port voltages and currents along with their corresponding sensitivities over the entire design space of interest. Finally, two numerical examples are presented, which confirm the accuracy and efficiency of the proposed method.

Original languageEnglish
Pages (from-to)1170-1180
Number of pages <span style="color:red"p> <font size="1.5"> ✽ </span> </font>11
JournalApplied Computational Electromagnetics Society Journal
Volume31
Issue number10
Publication statusPublished - Oct 2016

Keywords

  • Index terms-
  • Parameterized model order reduction
  • Partial element equivalent circuit
  • Sensitivity analysis
  • Time and frequency-domain circuit simulation

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