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Multi-objective optimal design of low-speed linear induction motor using genetic algorithm

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PL
Projektowanie i optymalizacja liniowego silnika indukcyjnego z wykorzystaniem algorytmu genetycznego
Języki publikacji
EN
Abstrakty
EN
In this paper, a simple and applicable procedure is proposed to design single-sided linear induction motor. The designed motor is simulated in MATLAB software in order to investigate the effect of various design variables on the performance of the machine. According to the obtained results, a multi-objective optimization method based on Genetic Algorithm is developed to maximize the efficiency and power factor and to minimize the motor weight, simultaneously. The results show significant enhancement of the objective function. 2D finite element method is used to validate the proposed design.
PL
Zaproponowano metodę projektowania jednostronnego liniowego silnika indukcyjnego z wykorzystaniem programu MATLAB. Do optymalizacji wykorzystano algorytm genetyczny. Poszukiwano maksymalnej skuteczności, małej wagi silnika i małego współczynnika mocy.
Rocznik
Strony
185--191
Opis fizyczny
Bibliogr. 18 poz., schem., tab., wykr
Twórcy
autor
autor
Bibliografia
  • [1] Mirsalim M., Doroudi A., Moghani J. S., Obtaining the operating characteristics of linear induction motors: a new approach, IEEE Trans. Magn, 38(2002), No. 2, 1365-1370.
  • [2] Creppe R. C.,. Ulson J. A. C, Rodrigues J. F., Influence of design parameters on linear induction motor end effect, IEEE Trans. Energy Convs, 23(2008), No. 2, 358-362.
  • [3] Nonaka S., Investigation of equivalent circuit quantities and equations for calculation of characteristics of single-sided linear induction motors (LIM), Electrical Engineering in Japan, 117(1996), No. 2, 107-121.
  • [4] Nonaka S., Investigation of equations for calculation of secondary resistance and secondary leakage reactance of single-sided linear induction motors, Electrical Engineering in Japan, 122(1998), No. 1, 60-67.
  • [5] Laithwaite E. R., Nasar S. A., Linear-Motion Electrical Machines, Proc. of IEEE, 58(1970), No.4, 531-542.
  • [6] Yoon S., Hur J., Hyun D., A method of optimal design of single-sided linear induction motor for transit, IEEE Trans. Magn, 33(1997), No. 5, 4215-4217.
  • [7] Osawa S., Wada M., Karita M., Ebihara D., T. Yokoi, Lightweight type linear induction motor and its characteristics, IEEE Trans. Magn, 28(1992), No. 4, 3003-3005.
  • [8] Kitamura M., Hino N., Nihei H., M. Ito, a direct search shape optimization based on complex expressions of 2-dimentional magnetic fields and forces, IEEE Trans. Magn, 34(1998), No. 5, 2845-2848.
  • [9] Laporte B., Takorabet N., Vinsard G., An approach to optimize winding design in linear induction motors, IEEE Trans. Magn, 33(1997), No. 2, 1844-1847.
  • [10] Mishima T., Hiraoka M., Nomura T., A study of the optimum stator winding arrangement of LIM in maglev systems, IEEE Inter. Conf. on Electric Machines Drives, IEMDC, (2005), 1238-1242.
  • [11] Hassanpour Isfahani A., Lesani H., Ebrahimi B. M., Design Optimization of Linear Induction Motor for Improved Efficiency and Power Factor, IEEE Inter. Conf. on Electric Machines Drives, IEMDC, (2007), 988-991.
  • [12] Hassanpour Isfahani A., Ebrahimi B. M., Lesani H., Design Optimization of a Low-Speed Single-Sided Linear Induction Motor for Improved Efficiency and Power Factor, IEEE Trans. Magn., 44(2008), No. 2, 266-272.
  • [13] Lucas C., Nasiri G. Z., Tootoonchian F., Application of an imperialist competitive algorithm to design of linear induction motor, Elsv. Engy. Conv. & Mang, 51(2010), 1407-1411.
  • [14] Gieras J. F., Linear induction drives, Oxford University Press, Inc., New York, (1994).
  • [15] Boldea I., Nasar S. A., linear motion electromagnetic devices, Taylor & Francis, New York (2001).
  • [16] Nasar S. A., Boldea I., linear electric motors, Prentice-Hall, Inc., Englewood Cliffs, New Jersey, (1987).
  • [17] Laithwaite E. R., Induction machines for special purposes, George Newnes Limited, London (1996).
  • [18] Sumathi S., Surekha P., Computational intelligence paradigms: theory and applications using MATLAB, CRC Press, Taylor & Francis, New York (2010).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPOH-0063-0016
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