Efficient description of RLC-macromodels with a large number of independent sources for model order reduction

Abstract

This paper introduces an efficient description of electromagnetic macromodels that contain passive electrical elements and a large number of independent sources. This description allows for much higher order reduction than the standard description. In the proposed description the behavior at the pins of the model as well as the passivity are preserved. With model order reduction algorithms the proposed description of the network can be reduced more efficiently and therewith a higher speed-up in simulations can be achieved. The whole procedure is validated by applying it to an macromodel of the electromagnetic behavior of a 32 Bit microcontroller.