Characterization of SRM drive systems under normal and fault operating conditions

被引：5

作者：

Arkadan, AA ^{[1
]}

Sidani, M ^{[1
]}

Du, P ^{[1
]}

机构：

[1] Marquette Univ, Dept Elect & Comp Engn, Milwaukee, WI 53233 USA

来源：

IEMDC'99 - IEEE INTERNATIONAL ELECTRIC MACHINES AND DRIVES CONFERENCE, PROCEEDINGS | 1999年

关键词：

D O I：

10.1109/IEMDC.1999.769083

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：

Two methods to predict the performance characteristics of Switched Reluctance Motor (SRM) drive systems under normal and fault operating conditions are presented. The first method is based on the use of an iterative approach which indirectly couples a two dimensional (2D) nonlinear finite element (FE) model to a state space model describing the SRM drive system. The second method uses Artificial Neural Networks (ANNs) approach which is applied for its interpolation capabilities for highly nonlinear systems in order to obtain a fast and accurate prediction of the performance of the SRM drive system.

引用

页码：249 / 251

页数：3

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