Empirical data modeling of power converters

Abstract

This paper addresses the topic of modeling of highly nonlinear power electronics systems. As an application of identifying an unknown plant in power electronics systems, an empirical data modeling approach is presented which aims at generating discrete-time small-signal linear equivalent models for a general class of converters, which includes resonant and PWM type converters. The resulting small-signal model describes the converter as a linear time invariant system, and the knowledge of the identified linear system can be applied to the switching converters for constructing feedback controllers. The identification results are compared with the analytical model and experimental data.