Optimal Design of Poly-Phase Induction Motor Using Particle Swarm Optimization

Vol.1 No.4

Year: 2008

Issue: Apr-Jun

Title: Optimal Design of Poly-Phase Induction Motor Using Particle Swarm Optimization 

Author Name: C.Thanga Raj, S.P. Srivastava , Pramod Agarwal 

Synopsis: 

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.

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