Application of Ant Colony Optimization Algorithm for Optimal Design of Squirrel Cage Induction Motor
Publish place: International Journal of Mechatronics, Electrical and Computer Technology، Vol: 4، Issue: 13
Publish Year: 1393
Type: Journal paper
Language: English
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Document National Code:
JR_IJMEC-4-13_015
Index date: 4 April 2016
Application of Ant Colony Optimization Algorithm for Optimal Design of Squirrel Cage Induction Motor abstract
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
Application of Ant Colony Optimization Algorithm for Optimal Design of Squirrel Cage Induction Motor Keywords:
Application of Ant Colony Optimization Algorithm for Optimal Design of Squirrel Cage Induction Motor authors
Behzad Alizadeh
Master Student, Babol University of Technology
S. Asghar Gholamian
Assistant of Electrical, Babol University of Technology