Multiobjective Optimization of a Five-Phase Bearingless Permanent Magnet Motor Considering Winding Area

被引：82

作者：

Shi, Zhou ^{[1
]}

Sun, Xiaodong ^{[1
]}

Lei, Gang ^{[2
]}

Tian, Xiang ^{[1
]}

Guo, Youguang ^{[2
]}

Zhu, Jianguo ^{[3
]}

机构：

[1] Jiangsu Univ, Automot Engn Res Inst, Zhenjiang 212013, Jiangsu, Peoples R China

[2] Univ Technol Sydney, Sch Elect & Data Engn, Ultimo, NSW 2007, Australia

[3] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia

来源：

IEEE-ASME TRANSACTIONS ON MECHATRONICS | 2022年 / 27卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Bearingless permanent magnet synchronous motor (BPMSM); multiobjective optimization; multiphase motor; sensitivity analysis; SWITCHED RELUCTANCE MOTOR; DESIGN OPTIMIZATION; INDUCTION-MOTOR; TORQUE;

D O I：

10.1109/TMECH.2021.3121802

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Due to the increasing demand for high-speed motors with high stability, bearingless motors have attracted much attention. Bearingless permanent magnet synchronous motors (BPMSMs) are a kind of motor, which uses suspension force to eliminate the motor bearings. This article proposes a five-phase BPMSM with 10 slots and 8 poles. Based on the principle of suspension force of BPMSM, an analytical expression of the suspension force is derived for the proposed BPMSM. To improve the suspension stability and torque, an optimization method consisting of a response surface model and a multiobjective optimization algorithm is employed. Not only the geometric parameters but also the winding distribution are considered in the optimization process. Finally, the effectiveness and superiority of the optimal design are verified by experiment.

引用

页码：2657 / 2666

页数：10

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