Comparison of identification methods of induction motor parameters

被引：4

作者：

Bellaaj-Mrabet, N ^{[1
]}

Jelassi, K ^{[1
]}

机构：

[1] ENIT, LSE, Tunis, Tunisia

来源：

EUROPEAN PHYSICAL JOURNAL-APPLIED PHYSICS | 1998年 / 3卷 / 01期

关键词：

D O I：

10.1051/epjap:1998206

中图分类号：

O59 [应用物理学];

学科分类号：

摘要：

Interests, in Genetic Algorithms (G.A.) expands rapidly. This paper consists initially to apply G.A. for identifying induction motor parameters. Next, we compare the performances with classical methods like Maximum Likelihood and classical electrotechnical methods. These methods are applied on three induction motors of different powers to compare results following a set of criteria.

引用

页码：71 / 80

页数：10