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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

References

[1] . D. G. Bharadwaj, K. Venkatesan, R. B. Saxena, Induction motor Design Optimization using Constrained Rosenbrock Method (Hill Algoritm), Computer and Electrical Engineering, 6,1979,41 -46.

[2] . Z. Maljkovic, M. Cettolo et.al, The Impact of the Induction Motor on Short-Circuit Current, IEEE Ind. Application Magazine, 2001,11-17.

[3] . M. K. Yoon, C. S. Jeon, S. K. Kauh, Efficiency Increase of an Induction Motor by Improving Cooling Performance, IEEE Trans. Energy Conversion, 17, 2002,1- 6.

[4] . R. H. A. Hamid, A. M. A. Amin, R. S. Ahmed, A. El- Gammal, New Technique for Maximum Efficiency of Induction Motors Based on PSO, IEEE conference proceedings, 2006,2176-2181.

[5] . B. Pryymak et al., Neural Network based Flux Optimization using a Model of Losses in Induction Motor Drives, Mathematics and computers in simulation, 71, 2006,290-298.

[6] . S. Urn, K. Nam, "Loss Minimization Control Scheme for Induction Motors, IEE proc. Electric Power applications, 151(4), 2004,385-397.

[7] . S. Ghozzi, K. Jelassi, X. Roboam, Energy Optimization of Induction Motor Drives, IEEE conference on Industrial Technology(ICIT), 2004, pp. 602-610.

[8] . K. Sundareswaran et al., Artificial Neural Network based Voltage Controller for Energy Efficient Induction Motor Drives, IEEE Inf. Conference, 1998.

[9] . I. Kioskesidis, N. Margaris, Loss minimization in scalar controlled induction motor drives with search controller, lEEETrans. Power Electronics, 11(2}, 1996,213-220.

[10] . M. Cacciato, A. consoli, G. Sea reel la, G. Seelba, A. Testa, Efficiency optimization technique via. constant optimal slip control of induction motor drives, IEEE conference proceedings on Power Electronics, Electric Drives, automation, and Motion, 2006,32-42.

[11] . Jan Pawel Wieczorek, Ozdemir Gol, Z. Michalewicz, An evolutionary Algorithm for the Optimal Design of Induction Motors, IEEE Trans. On Magnetics, 34(6), 1998.

[12] . M. Cunkas, R. Akkaya, Design Optimization of Induction Motor by Genetic Algorithm and Comparison with Existiong Motor, Mathmatlcal and Computational Applications, 11(3), 2006,193-203.

[13] . S. Padma, R. Bhuvaneswari, S. Subramanian,Application of Soft Computing Techniques to Induction Motor Design, Computation and Mathematics In Elec, and Electronics Engg., 26(5), 2007,1324-1345.

[14] . R. Bhuvaneswari, S. Subramanian, Optimization of Three-Phase Induction Motor Design using Simulated Annealing Algorithm, Electric Power Components and Systems, 33, 2005,947-956.

[15] . Bhim Singh, B. N. Singh, Experience in the Design Optimization of a Voltage Source Inverter Fed Squirrel Cage Induction Motor, Electric Power Systems Research, 26,1993,155-161.

[16] . Kennady, J. and Eberhart R., Particle swarm optimization, IEEE International conference on neural networks, 1995,1942-1948.

[17] . A. M. A. Amin, M. I. Korfally, A. A. Sayed, O. T. M. Hegazy, Loss minimization of two asymmetrical windings induction motor based on swarm intelligence, IEEE conference proceedings, 2006,1156-1161.

[18] . R. C. Eberhart, Y. Shi, Comparing inertia weights and constriction factors in particle swarm optimization, IEEE conference proceedings, 2000,84-88.

[19] . Fang Wang, Yuhui Qiu, A modified particle swarm optimizer with Roulette selection operator, IEEE conference proceedings of NLP-KE, 2005, 765-768.

[20] . Shi, Y. H., Eberhart, R. C., A Modified Particle Swarm Optimizer, IEEE International Conference on Evolutionary Computation, Anchorage, Alaska, 1998,69 - 73.

[21 ]. Millie Pant, T. Radha, Ajith Abraham, A new Particle Swarm Optimization Algorithm Incorporating Reproduction Operator for Solving Global Optimization Problem, Proc. of Hybrid Intelligent System (HIS), IEEE Computer Society Press, 2007,144-149

[22] . R. Ramarathinam, B. G. Desai, Optimization of Polyphase Induction Motor Design: A Nonlinear Programming Aproach, IEEE Trans. Power Apparatus and Systems, PAS-90 (2), 1971,570-578.

[23] . D. G. Bharadwaj, Application of certain Optimization Techniques for Cage Induction Machine, Ph.DThesis, University of Roorkee, India, 1979

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