文章基本信息

标题：Application of Ant Colony Optimization Algorithm for Optimal Design of Squirrel Cage Induction Motor
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作者：Behzad Alizadeh ; S. Asghar Gholamian
期刊名称：International Journal of Mechatronics, Electrical and Computer Technology
印刷版ISSN：2305-0543
出版年度：2014
卷号：4
期号：13
页码：1674-1690
出版社：Austrian E-Journals of Universal Scientific Organization
摘要：Low efficiency and high volume are one of the major disadvantages of induction motors. In recent decades, for determined motor power output, the motor dimension is reduced, and so efficiency is the upside. The main purpose of design of an induction motor is obtaining the physical dimensions of all parts of the motor to satisfy the customer. This paper proposes the optimal design of a three-phase induction motor for increased efficiency and reduces the volume. In this paper, the motor has been optimized by ant colony optimization algorithm because it offer maximum efficiency and minimum size. A multi- objective optimization is performed in this paper for optimum dimensions of the motor using ant colony optimization algorithm
关键词：Ant colony algorithm; Optimization; Induction motor; Squirrel cage