Xiaomei Liang This email address is being protected from spambots. You need JavaScript enabled to view it.1, Rong Sun2, and Wenmiao Dou1

1Guilin Institute of Information Technology School of Electronic Engineering
2Guilin university of electronic technology School of information and communication


Received: May 18, 2022
Accepted: June 20, 2022
Publication Date: August 12, 2022

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation: ||https://doi.org/10.6180/jase.202305_26(5).0006  


In the process of intelligent sub-circuit analysis based on learning mechanism, how to effectively abstract the sample data of neural network from a large amount of circuit information is an important precondition to ensure the reliability of the system prediction results. This paper analyzed the soft-switching power electronic converter, and proposed a circuit-based analysis algorithm based on graph theory and invalid path rejection method. The error analysis shows that the effective processing of the sample data before the network training can not only avoid the problems of large amount of data input during the traditional sub-circuit analysis, but also improve the accuracy of the system prediction. All the operating modes of the Buck ZCT PWM converter are analyzed using the switching Boolean matrix, and it is found that the potential circuit can be combined with the normal operating mode to improve the soft switching performance of the Buck ZCT PWM converter. Using the switch Boolean matrix to analyze all the working modes of the dual-input power supply Buck ZVT PWM converter, it is found that when the two input power supply voltages are not equal, potential circuit paths will appear, so that the dual-input power supply Buck ZVT PWM converter can obtain better performance work performance. All operating modes of Boost ZVT PWM converter are analyzed by switching Boolean moments, and the defects of Boost ZVT PWM converter under normal working conditions are analyzed, and the soft-switching performance of Boost ZVT PWM converter is improved based on potential circuit analysis.

Keywords: soft-switching power electronic converter; soft switch; sub-circuit analysis algorithm; intelligent sub-circuit analysis


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