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CUCKOO OPTIMIZATION ALGORITHM BASED DESIGN FOR LOW-SPEED LINEAR INDUCTION MOTOR

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Abstract (2. Language): 
In these years, linear induction machines (LIMs) are widely used in rapid transportation applications and these machines achieve thrust directly without gear device, link or axial mechanism system. Furthermore LIMs have numerous other benefits such as not complex body and easy repairing. Unfortunately LMIs have big disadvantage: not good efficiency and weak power factor. These disadvantages cause high energy loss and a rise in input current value, and occupy transmission line capacity. In this research article, a multiobjective optimization system based on cuckoo optimization algorithm (COA) to enhance both efficiency and power factor is introduced, concurrently. The suggested intelligent system is established on capability of nature-based optimization algorithms in selecting the optimal solution. One benchmark and standard example is applied to show the operation of the design method and optimization system. The advantage features of the COA is due to its capability to concurrently refine a local search, as searching globally solution in search space. Furthermore, computer simulation results demonstrate that proposed method have a low dependency on oscillation of the variables. Also, the applied optimization technique was very speedy, requiring a low time to discover the optimum result in search space.
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REFERENCES

References: 

1] Kikuchi, S., Hashimoto, Y., & Ebizuka, R. (1996). “Some motor considerations on the
reduction of a noise in a LIM”. IEEE Trans Magn ;32(5):5031–3.
[2] Kitamura, M. Hino, N. Nihei, H. (1998). Ito M. A direct probe search shape optimization
based on complex expressions of 2-dimensional magnetic fields and forces. IEEE Trans Magn
1998;34(5):2845–8.
[3] Neto, C.M., Jacinto, G.M., & Cabrita, C.B. (1998). “Optimised design aided by voltage
computer of single-sided, three-phase, linear induction actuators”. In: 9th Mediterranean
electrotechnical conf. proc. (MELECON’98), Tel-Aviv, Israel, vol. 2; 1998. p. 1157–60.
[4] Laporte, B., et al. (1997). An approach strategy to optimize winding design in linear induction
motors. IEEE Trans Magn.33(2):1844–1849.
[5] Yoon, S., Hur, J., Hyun, D. (1997). “A method of optimal design of single field sided linear
induction motor for transit”. IEEE Trans Magn. 33(5):4215–4220.
[6] Yoon, R., et al. (1997). “Analysis and optimal design of the slit type low speed linear induction
motors”. In: IEEE international electric machines and drives conference; 1997. p. TB2-8.1–3.
[7] Imani, D.H et al. (1993). Design of single-sided linear induction motor using the finite element
method and SUMT. IEEE Trans Magn, 29(2):1762–6.
[8] Mishima, T., Hiraoka, M., Nomura, T. (2005). A study of the optimum stator winding
arrangement of LIM in maglev systems. In: Proc. IEEE int. conf. elec. machines drives IEMDC;
2005. p. 1231–42.
[9] Hassanpour Isfahani, A., Ebrahimi, B.M., Lesani, H. (2008). “Design optimization of a low
speed single-sided linear induction motor for improved efficiency and power factor”. IEEE
Trans Magn, 44(2):266–72.
[10] Boldea, I., and Nasar, N.S. (2011). Linear Electromagnetic Device. New York: Taylor &
Francis, 33(2): 23-33
[11] Rajabioun, R. (2011). Cuckoo Optimization Algorithm. Applied Soft Computing, 11(3): 5508-
5518.
[12] Hassanpour Isfahani, A., Ebrahimi, B.M., and Lesani, H. (2008). Design Optimization of a
Low-Speed Single-Sided Linear Induction Motor for Improved Efficiency and Power Factor.
IEEE TRANSACTIONS ON MAGNETICS, 44 (2): 23-36

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