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

C.Thanga Raj*, S.P. Srivastava**, Pramod Agarwal***

* Research Scholar, Department of Electrical Engineering, Indian Institute of Technology, Roorkee, India.

** Associate Professor, Department of Electrical Engineering, Indian Institute ofTechnology Roorkee, India.

*** Professor, Department of Electrical Engineering, Indian Institute ofTechnology, Roorkee, India.

Periodicity:April - June'2008
DOI : https://doi.org/10.26634/jee.1.4.380

Abstract

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.

Keywords

Particle Swarm Optimization, Induction Motor, Design, Voltage unbalance, Quadratic Interpolation.

How to Cite this Article?

C.Thanga Raj, S.P. Srivastava and Pramod Agarwal (2008). Optimal Design of Poly-Phase Induction Motor Using Particle Swarm Optimization. i-manager’s Journal on Electrical Engineering, 1(4), Apr-Jun 2008, Print ISSN 0973-8835, E-ISSN 2230-7176, pp. 45-50. https://doi.org/10.26634/jee.1.4.380

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

Abstract

Keywords

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