A Design Study of 4/2 Switched Reluctance Motor Using Particle Swarm Optimization

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Winna Phuangmalai
Mongkol Konghirun
Nattapon Chayopitak

Abstract

This paper presents the use of particle swarm optimization (PSO) algorithm applied to the optimal design of the 4/2 switched reluctance motor (SRM). The main advantage of designing 4/2 SRM is the robust rotor structure for high speed unidirectional rotating applications such as the air conditioner's blower. In the designing process, the nite element method magnetics (FEMM) is employed to analyze the designing SRM with its optimized parameters given by PSO. This PSO algorithm is ecient and exible. The objective function is based on the ripple torque minimization with respect to rotor node position. The PSO algorithm is described and the FEMM simulation results with detailed analysis will be given for verifying optimal rotor design by PSO algorithm.

Article Details

How to Cite
Phuangmalai, W., Konghirun, M., & Chayopitak, N. (2013). A Design Study of 4/2 Switched Reluctance Motor Using Particle Swarm Optimization. ECTI Transactions on Electrical Engineering, Electronics, and Communications, 11(1), 56–62. https://doi.org/10.37936/ecti-eec.2013111.170597
Section
Electrical Power Systems

References

[1] K.J. Binns, P.J. Lisboa and M.S.N. AL-Din, "The Use of Canned Rotors in High Speed Permanent Magnet Machines," Int. Conf. Elect. Mach. Drives, London, England, 1991, pp. 21-25.

[2] Ikeda, M.; Sakabe, S.; Higashi, K. "Experimental study of high speed induction motor varying rotor core construction," IEEE Trans. Energy Convers., vol. 5, iss. 1, pp.98-103, Mar. 1990.

[3] T. Genda, H. Dohmeki, "Characteristics of 4/2 Switched Reluctance Motor for a high speed drive by the excitation angle," Int. Conf. Elect. Mach. Syst., Tokyo, Japan, 2009, pp.1-6.

[4] S. Kozuka, N. Tanabe, J. Asama, A. Chiba, "Basic characteristics of 150,000 r/min switched reluctance motor drive", Power and Energy Soc. General Meeting-Conver. Delivery Elect., Pittsburgh, United States of America, 2008, pp. 1-4.

[5] J. Kennedy, R.C. Eberhart, Particle swarm optimization," IEEE Int. Conf. on Neural Netw., Piscataway, United States of America, 1995, pp. 1942-1948.

[6] David Meeker, "Finite Element Method Magnetics," User's Manual: Oct 16, 2010.