Induction Motor Design with Limited Harmonic Currents Using Particle Swarm Optimization
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Induction Motor Design with Limited Harmonic Currents Using Particle Swarm Optimization

Authors: C. Thanga Raj, S. P. Srivastava, Pramod Agarwal

Abstract:

This paper presents an optimal design of poly-phase induction motor using Quadratic Interpolation based Particle Swarm Optimization (QI-PSO). The optimization algorithm considers the efficiency, starting torque and temperature rise as objective function (which are considered separately) and ten performance related items including harmonic current as constraints. The QI-PSO algorithm was implemented on a test motor and the results are compared with the Simulated Annealing (SA) technique, Standard Particle Swarm Optimization (SPSO), and normal design. Some benchmark problems are used for validating QI-PSO. From the test results QI-PSO gave better results and more suitable to motor-s design optimization. Cµ code is used for implementing entire algorithms.

Keywords: Design, harmonics, induction motor, particle swarm optimization

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1330093

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References:


[1] Z. Maljkovic, M. Cettolo, et.al, "The Impact of the Induction Motor on Short-Circuit Current", IEEE Ind. Application Magazine, 2001, pp. 11-17.
[2] M. K. Yoon, C. S. Jeon, S. K. Kauh, "Efficiency Increase of an Induction Motor by Improving Cooling Performance", IEEE Trans. Energy Conversion, 2002, Vol. 17, pp. 1-6.
[3] M. Cacciato, A. consoli, G. Scarcella, 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, pp. 32-42.
[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, pp. 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, Vol. 71, 2006, pp. 290-298.
[6] S. Lim, K. Nam., "Loss Minimization Control Scheme for Induction Motors", IEE proc. Electr. Power appli., Vol. 151 No. 4, 2004, pp. 385-397.
[7] I. Kioskesidis, N. Margaris, "Loss minimization in scalar controlled induction motor drives with search controller", IEEE Trans. Power Electronics, Vol. 11, No. 2, 1996, pp. 213-220.
[8] C. Thanga Raj, Pramod Agarwal, , and S. P. Srivatava, "Particle Swarm optimized Induction Motor for a Textile Mill Load Diagram", Proc. Of IET Int. Conf. ICTES-07, India, Dec. 2007, pp. 379-383.
[9] S. Ghozzi , K. Jelassi, X. Roboam, "Energy Optimization of Induction Motor Drives", IEEE conference on Industrial Technology (ICIT), 2004, pp. 602-610.
[10] K. Sundareswaran et al., "Artificial Neural Network based Voltage Controller for Energy Efficient Induction Motor Drives", IEEE Int. Conference 1998.
[11] Jan Pawel Wieczorek, Ozdemir Gol, Z. Michalewicz, "An evolutionary Algorithm for the Optimal Design of Induction Motors", IEEE Trans. Magnetics, Vol. 34, No. 6, 1998.
[12] M. Cunkas, R. Akkaya, "Design Optimization of Induction Motor by Genetic Algorithm and Comparison with Existiong Motor", Mathmatical and Computational Applications, Vol. 11, No. 3. 2006, pp. 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., Vol 26, No. 5, 2007, pp. 1324-1345.
[14] R. Bhuvaneswari, S. Subramanian, "Optimization of Three-Phase Induction Motor Design using Simulated Annealing Algorithm", Electric Power Components and Systems, Vol. 33, 2005, pp. 947-956.
[15] C. Thanga Raj, S. P. Srivastava, Pramod Agarwal, "Particle swarm Optimized Design of Induction Motor with the consideration of Unbalanced Supply Voltages, Int. J. of Mathematical Modeling, Simulation and Applications, to be published.
[16] Bhim Singh, B. N. Singh, "Experience in the Design Optimization of a Voltage Source Inverter Fed Squirrel Cage Induction Motor", Electric Power Systems Research, Vol. 26, 1993, pp. 155-161
[17] Kennady, J and Eberhart. R, "Particle swarm optimization", IEEE international conference on neural networks, NJ, 1995, PP. IV: 1942-1948.
[18] 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, pp. 1156-1161.
[19] R. C. Eberhart, Y. Shi, "Comparing inertia weights and constriction factors in particle swarm optimization", IEEE conference proceedings, 2000. pp 84-88.
[20] Fang Wang, Yuhui Qiu, "A modified particle swarm optimizer with Roulette selection operator", IEEE conference proceedings of NLP-KE, 2005. pp 765-768.
[21] Millie Pant, Radha Thangaraj, 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, pp. 144-149.
[22] R. Ramarathinam, B. G. Desai, "Optimization of Polyphase Induction Motor Design: A Nonlinear Programming Aproach", IEEE Trans. Power Apparatus and Systems, Vol. PAS-90, No. 2, Mar. / Apr. 1971, pp. 570-578.
[23] D. G. Bharadwaj, "Application of certain Optimization Techniques for Cage Induction Machine", Ph.D Thesis, University of Roorkee, India, 1979.
[24] G. K. Dubey, "Power Semiconductor Controlled Drives", Prentice Hall, New Jesey, 1989.