Analytical prediction of stator flux density waveforms and iron losses in brushless DC machines, accounting for load condition

被引：0

作者：

Zhu, ZQ ^{[1
]}

Ng, K ^{[1
]}

Howe, D ^{[1
]}

机构：

[1] Univ Sheffield, Dept Elect & Elect Engn, Sheffield S1 3JD, S Yorkshire, England

来源：

ICEMS'2001: PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS, VOLS I AND II | 2001年

关键词：

iron loss; permanent magnet; brushless machine;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An analytically based technique for predicting on-load flux density waveforms in different regions of the stator core and the associated iron loss density of permanent magnet brushless dc motors is described. It combines an analytical model for predicting the instantaneous airgap field distribution with a non-linear lumped reluctance model of the motor, accounting for time and spatial harmonics. Predicted flux density waveforms and iron loss under various load conditions are compared with those derived from finite element analysis and measurements.

引用

页码：814 / 817

页数：4

共 26 条

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