SYSTEM-IDENTIFICATION OF POWER CONVERTERS BASED ON A BLACK-BOX APPROACH

This paper addresses the topic of a model-free system identification o f highly nonlinear power electronics systems from the data either thro ugh a time-domain simulation or a hardware measurement. Especially, th is system identification method based on the black-box approach using the data generated from well-known design tools such as PSpice and MAT LAB is generally simpler and independent of type of converters, As an application of identifying an unknown plant in power electronics syste ms, a constructive black-box approach is presented which aims at gener ating discrete-time small-signal linear equivalent models for a genera l class of converters, which includes resonant converters, pulsewidth modulation (PWM) converters and zero-voltage-switched (ZVS) PWM conver ters. The resulting small-signal model describes the converter as a li near time-invariant system, and the knowledge of the identified linear system can be applied to the switching converters for constructing fe edback controllers. The identification results are compared with the a nalytical model and experimental data.