Genetic algorithm based design optimization of a permanent magnet brushless dc motor

被引：5

作者：

Upadhyay, RR ^{[1
]}

Rajagopal, KR ^{[1
]}

机构：

[1] Indian Inst Technol, Dept Elect Engn, New Delhi 110016, India

来源：

JOURNAL OF APPLIED PHYSICS | 2005年 / 97卷 / 10期

关键词：

D O I：

10.1063/1.1860891

中图分类号：

O59 [应用物理学];

学科分类号：

摘要：

Genetic algorithm (GA) based design optimization of a permanent magnet brushless dc motor is presented in this paper. A 70 W, 350 rpm, ceiling fan motor with radial-filed configuration is designed by considering the efficiency as the objective function. Temperature-rise and motor weight are the constraints and the slot electric loading, magnet-fraction, slot-fraction, airgap, and airgap flux density are the design variables. The efficiency and the phase-inductance of the motor designed using the developed CAD program are improved by using the GA based optimization technique; from 84.75% and 5.55 mH to 86.06% and 2.4 mH, respectively. (c) 2005 American Institute of Physics.

引用

页数：3