Approximation rotational parameters of rolling rotor switched reluctance motor by means of finite element method and artificial neural network

被引：0

作者：

Wrotek, Hubert ^{[1
]}

Salat, Robert ^{[2
]}

机构：

[1] SGGW, Wydzial Technol Drewna, Ul Nowoursynowska 166, PL-02787 Warsaw, Poland

[2] SGGW, Wydzial Inzynierii Prod, PL-02787 Warsaw, Poland

来源：

PRZEGLAD ELEKTROTECHNICZNY | 2010年 / 86卷 / 12期

关键词：

electrical machines; switched reluctance motor; finite element method; neural network SVM;

D O I：

暂无

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：

The paper presents research into rolling rotor switched reluctance motor (RRSRM). Paper describes a four-band construction RRSRM. The electromagnetic torque calculations are formulated using finite element method (FEM). The approximation of electromagnetic torque using artificial neural network (SVM) are given. (Approximation rotational parameters of rolling rotor switched reluctance motor by means of finite element method and artificial neural network)

引用

页码：276 / 279

页数：4

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