文章基本信息

标题：A Mode-Based Averaged Power Converter Model for Large Transients
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作者：Adam Kastner ; Lutz Gröll ; Veit Hagenmeyer 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：20
页码：367-372
DOI：10.1016/j.ifacol.2022.09.122
语种：English
出版社：Elsevier
摘要：AbstractPower converters employ high-frequency switching between multiple switch states, each of which causes the system to exhibit a different dynamic behavior. Averaged models are a common simplification used for describing the behavior in one or two specific cycles of switch states, also called operating modes. In this context, we propose extending the method of Sun et al. (2001), which allows averaging in two operating modes, to a converter model with four operating modes. We show in simulations that our model results in a reasonable approximation of the true moving average of the original switching converter model during large transients that pass through multiple operating modes.
关键词：Keywordspower convertersswitched systemsaveragingsimulation