Leverrier Algorithm based Reduced Order Modeling of dc-dc Converters

被引：0
|
作者：
Garg, Man Mohan [1 ]
Hote, Yogesh V. [1 ]
机构：
[1] Indian Inst Technol, Dept Elect Engn, Roorkee, Uttar Pradesh, India
来源：
2014 IEEE 6th India International Conference on Power Electronics (IICPE) | 2014年
关键词：
State space averaging (SSA) technique; buck converter; boost converter; Leverrier algorithm; reduced order modeling; REDUCTION;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper, mathematical modeling of dc-dc buck and boost converter is presented using Leverrier algorithm. The main advantage of this method is that there is no need to determine the inverse of a matrix and hence, this method is computationally efficient. Further, it shown that by reducing second order model of dc-dc buck and boost converter to first order, similar performance can be achieved. The simulation results and performance evaluation are carried out using MATLAB, which depicts that original system responses match well with responses of reduced order models.
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页数：6
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