Design optimization of a BLDC motor: a comparative analysis

被引：9
|
作者：
Markovic, Nhroslav [1 ]
Ragot, Patrick [1 ]
Perriard, Yves [1 ]
机构：
[1] Ecole Polytech Fed Lausanne, LAI, CH-1015 Lausanne, Switzerland
来源：
IEEE IEMDC 2007: PROCEEDINGS OF THE INTERNATIONAL ELECTRIC MACHINES AND DRIVES CONFERENCE, VOLS 1 AND 2 | 2007年
关键词：
D O I：
10.1109/IEMDC.2007.383653
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper presents an application of the Matlab optimization algorithms to a slotless brushless DC (BLDC) motor design, with 7 design parameters chosen to be free. The tested algorithms are: classical (gradient-based), direct-search and genetic. As a conclusion, the direct-search algorithm is not suitable for this application, as it is highly dependent on the initial values. The classical or genetic algorithms are suitable to apply, but within loops. The best results are produced by the sequence genetic-classical algorithms.
引用
收藏
页码：1520 / +
页数：2
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