Nonlinear Model Order Reduction of Induction Motors Using Parameterized Cauer Ladder Network Method

被引：13

作者：

Tobita, Miwa ^{[1
]}

Matsuo, Tetsuji ^{[1
]}

机构：

[1] Kyoto Univ, Grad Sch Engn, Kyoto 6158510, Japan

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2022年 / 58卷 / 09期

基金：

日本学术振兴会;

关键词：

Rotors; Induction motors; Inductance; Iron; Saturation magnetization; Stator cores; Magnetic domains; Cauer ladder network (CLN); eddy currents; induction motors; magnetic saturation; multi-port model order reduction (MOR);

D O I：

10.1109/TMAG.2022.3171743

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this study, we established the nonlinear model order reduction (MOR) of induction motors by parameterizing a multi-port Cauer ladder network (CLN). Appropriate parameters were selected to incorporate nonlinear magnetic characteristics. The parameterized multi-port CLN was applied to the transient analysis of a rotating induction motor. The proposed method reproduced the finite-element analysis results with various driving frequencies and slips. The parameterized multi-port CLN can effectively reduce the computation time for analyses requiring a large number of time steps.

引用

页数：4

共 6 条

[1] Model order reduction applied to the numerical study of electrical motor based on POD method taking into account rotation movement [J].