{"title":"Analysis of Complex Breathing Phenomena in Flyback Converter Based on Peak Current Mode Control","authors":"Yan Chen, Jianping Wang, Yong Zheng, Lin Zhong","doi":"10.1109/ICoPESA54515.2022.9754465","DOIUrl":null,"url":null,"abstract":"In this study, a peak current mode control of Flyback converter with coupled interference signals was established. Firstly, the bifurcation and chaos phenomena of Flyback converter under this control were analyzed by numerical simulation. Then, the coupling interference signal was injected on this basis, and the existence of this breathing phenomenon was discovered through numerical simulation and circuit simulation. The stability of the system is determined by analyzing the change trajectory of the maximum modulus eigenvalue of the Jacobian matrix. Finally, the existence of breathing phenomenon was verified based on RT-LAB. The theoretical analysis results were consistent with the experimental results, the existence of the breathing phenomenon in the Flyback converter was verified.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"155 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICoPESA54515.2022.9754465","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this study, a peak current mode control of Flyback converter with coupled interference signals was established. Firstly, the bifurcation and chaos phenomena of Flyback converter under this control were analyzed by numerical simulation. Then, the coupling interference signal was injected on this basis, and the existence of this breathing phenomenon was discovered through numerical simulation and circuit simulation. The stability of the system is determined by analyzing the change trajectory of the maximum modulus eigenvalue of the Jacobian matrix. Finally, the existence of breathing phenomenon was verified based on RT-LAB. The theoretical analysis results were consistent with the experimental results, the existence of the breathing phenomenon in the Flyback converter was verified.