This paper addresses the topic of a model-free sys- tem identification of highly nonlinear powerelectronics systems from the data either through a time-domain simulation or a hardwaremeasurement. Especially, this system identification method based on the black-box approach usingthe data generated from well-known design tools such as PSpice and MATLAB is generally simplerand independent of type of converters. As an application of identifying an unknown plant in powerelectronics systems, a constructive black-box approach is presented which aims at generatingdiscrete-time small-signal linear equivalent models for a general class of converters, which includesresonant converters, pulsewidth modulation (PWM) converters and zero-voltage-switched (ZVS)PWM converters. The resulting small-signal model describes the converter as a linear time-invariantsystem, and the knowledge of the identified linear system can be applied to the switching convertersfor constructing feedback controllers. The identification results are compared with the analyticalmodel and experimental data.
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