JEE_V1_N4_RP6 C. Thanga Raj S.P. Srivastava Pramod Agarwal Journal on Electrical Engineering 2230 – 7176 1 4 45 50 Particle swarm optimization, Induction motor, Design, Voltage unbalance, Quadratic interpolation This paper presents an optimal design of poly-phase induction motor using Improved Particle Swarm Optimization i.e. Quadratic Interpolation based Particle Swarm Optimization (QI-PSO) proposed in [21]. The optimization algorithm considers the cost of active materials, efficiency, starting torque, and temperature rise as objective function (which are considered separately) and nine performance related items as constraints. The QI-PSO algorithm was implemented on two test motors and their results are compared with the Simulated Annealing (SA) technique, Constrained Rosen Brock Method, Standard Particle Swarm Optimization (SPSO), and normal design. From the test results QIPSO gave better results and more suitable to motor’s design optimization. The effects of unbalanced stator voltage in the motor torque, temperature rise and efficiency are also tabulated. April - June 2008 Copyright © 2008 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=380