Analysis of power electronic converters using the generalized state-space averaging approach

TLDR: In this paper, the generalized state-space averaging (GSSA) method is applied to power electronic converters and shown to work well only within specific converter topologies and parametric limits, where the model approximation order is not defined by the topology number of components.

Abstract: Power electronic converters are periodic time-variant systems, because of their switching operation. The generalized state-space averaging method is a way to model them as time independent systems, defined by a unified set of differential equations, capable of representing circuit waveforms. Therefore, it can be a convenient approach for designing controllers to he applied to switched converters. This brief shows that the generalized state-space averaging method works well only within specific converter topologies and parametric limits, where the model approximation order is not defined by the topology number of components. This point is illustrated with detailed examples from several basic dc/dc converter topologies.