By Topic

System identification of power converters based on a black-box approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Ju-Yeop Choi ; Bradley Dept. of Electr. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA ; B. H. Cho ; H. F. VanLandingham ; Hyung-soo Mok
more authors

This paper addresses the topic of a model-free system identification of highly nonlinear power electronics systems from the data either through a time-domain simulation or a hardware measurement. This system identification method based on the black-box approach using the data generated from well-known design tools such as PSpice and MATLAB is generally simpler and independent of type of converter. As an application of identifying an unknown plant in power electronics systems, a constructive black-box approach is presented which aims at generating discrete-time small-signal linear equivalent models for a general class of converters, which includes resonant converters, pulsewidth modulation (PWM) converters and zero-voltage-switched (ZVS) PWM 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

Published in:

IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications  (Volume:45 ,  Issue: 11 )