Converter Analysis Using Discrete Time State-Space Modeling

被引:1
|
作者
Baxter, Jared A. [1 ]
Costinett, Daniel J. [1 ]
机构
[1] Univ Tennessee, Bredesen Ctr, Knoxville, TN 37996 USA
来源
2019 IEEE 20TH WORKSHOP ON CONTROL AND MODELING FOR POWER ELECTRONICS (COMPEL) | 2019年
基金
美国国家科学基金会;
关键词
OPTIMIZATION;
D O I
10.1109/compel.2019.8769686
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Modeling plays a vital role in the design of advanced power converters. Commonly, modeling is completed using either dedicated hand analysis, which must be completed individually for each topology, or time-stepping circuit simulations, which are insufficiently rapid for broad analysis considering a wide range of potential designs or operating points. Discrete time state-space modeling of switching converters has shown merits in rapid analysis and generality to arbitrary circuit topologies but is hampered by difficulty incorporating nonlinear elements. In this work, we investigate methods for the incorporation of nonlinear elements into a generalized discrete time state-space modeling framework and showcase the utility of the approach for use in the converter design process.
引用
收藏
页数:8
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