Geometry optimization for a class of switched-reluctance motors: A bi-objective approach

被引：10

作者：

Di Barba, Paolo ^{[1
]}

Mognaschi, Maria Evelina ^{[1
]}

Przybylski, Marek ^{[2
]}

Rezaei, Najmeh ^{[1
]}

Slusarek, Barbara ^{[2
]}

Wiak, Slawomir ^{[3
]}

机构：

[1] Univ Pavia, Dept Elect Comp & Biomed Engn, Via Ferrata 5, I-27100 Pavia, Italy

[2] Tele & Radio Res Inst, Warsaw, Poland

[3] Lodz Univ Technol, Inst Mechatron & Informat Syst, Lodz, Poland

来源：

INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS | 2018年 / 56卷

关键词：

Finite elements methods; multi-objective optimization; soft magnetic composite; switched reluctance motor; OPTIMAL-DESIGN;

D O I：

10.3233/JAE-172282

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：

This study focuses on a class of a 3-phase Switched Reluctance Motor. The aim of the paper is to optimize torque and iron losses as a function of the geometry. To enhance the efficiency of the motor, a procedure of automated optimal design is adopted. Two materials are evaluated and compared: in particular, a Soft Magnetic Composite material might be a good alternative for rotor and stator cores instead of a laminated steel. The analysis model of the motor is based on 2D Finite Element Method (FEM) simulation, while the design optimization is based on evolutionary computing.

引用

页码：S107 / S122

页数：16

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