Advanced SearchSearch Tips
Design of the Electromagnet of Maglev using Optimization Algorithm Based on Bacterial Survival Strategies
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Design of the Electromagnet of Maglev using Optimization Algorithm Based on Bacterial Survival Strategies
Cho, Jae-Hoon; Kim, Young-Tae;
  PDF(new window)
This paper introduces a new optimal design method using a bacterial survival strategies for a ectromagnet of Maglev transportation vehicle. Usually, an electromagnetic suspension which has more advantages than electro dynamic suspension is used in Maglev systems. However, the structural constraints must be considered in the optimal design of an electromagnet for electromagnetic suspend system. In this paper, the optimal design method of a electromagnet based on a bacterial survival strategies optimization algorithm to design the electromagnet satisfying the structural constraints. The effectiveness of the proposed method was verified by Matlab simulations and the simulation results show that the proposed method is more efficient than conventional methods.
Magnetic levitation system;electromagnet;Bacterial survival strategies;Electromagnetic suspension;Optimization algorithm;
 Cited by
G. B Cho, H. L Baek, G. K Oh, Y. D Kim, H. J Kim, "Design of Magnetically Levitation Electromagnet Conveying Non-contact Steel Plate", Proceedings of the KIEE autumn annual conference 1995, pp. 107-109, 1995.

S-H Lee, I-S Sin, Y-H Cho, "Magnetic Force Characteristics Analysis of Magnet for Magnetic Levitation Conveyor," Proceedings of the KIEE autumn annual conference 2008, pp. 99-101, 2008.

C-H Kim, et al., "Levitation and thrust control of a Maglev LCD glass conveyor", IECON 2011, pp. 610-615, 2011.

H-W Cho, C-H Kim, J-M Lee, Hyung-Suk HanAnalysis on the Levitation Force Characteristics of Longitudinal Flux Type Levitation Magnet using Equivalent magnetic Circuit model,The transaction of the KIEE, Vol. 60, No. 11, pp. 2236-2245, 2011.

Tzeng YK, Wang T, "Optimal design of the electromagnetic levitation with permanent and electro magnets. IEEE Trans Magn", Vol. 30, pp. 4731-4733, 1994. crossref(new window)

H-W Lim, G-S Cha, "Optimal Design of a Levitation Magnet for an OLED System by using Evolution Strategy" The transaction of the KIEE B, Vol. 55B, No. 11, pp. 541-546, 2006.

G-S Cha, H-W Lim, "Design of a levitation magnet with large flux leakage by using evolution strategy", Proceedings of the KIEE spring annual conference 2006, pp. 106-108, 2006.

Passino, K. M., Biomimicry of Bacterial foraging for distributed optimization, University Press, Princeton, New Jersey, 2001.

Song, Young-Won, Kyebyung Lee, and Chang-Hyun Park. "Optimal Placement of Distributed Generation Units Considering Voltage Sags." The Transactions of KIEE Vol. 62, No. 11, pp. 1505-1510, 2013.

W-K Kim, S-K Oh, H-K Kim, "A Study on Feature Selection in Face Image Using Principal Component Analysis and Particle Swarm Optimization Algorithm", The Transacition of KIEE, Vol. 58, No. 12, pp. 2511-2519, 2009.

Cho, Jae-Hoon, and Yong-Tae Kim. "Optimal design of electromagnet for Maglev vehicles using hybrid optimization algorithm." Soft Computing, Vol. 19, No. 4, 901-907, 2015. crossref(new window)

Cho, Jae-Hoon, Lee, Dae-Jong, Chun, Myung-Geun, "Parameter Optimization of Extreme Learning Machine Using Bacterial Foraging Algorithm", Journal of KIIS, Vol. 60, No. 2, pp. 398-406, 2007.

H.J. Bremermann, "chemotaxis and optimization," J. Franklin Inst., Vol. 297, pp. 397-404, 1974. crossref(new window)

CHO, Jae Hoon, et al. "Bacterial foraging with quorum sensing based optimization algorithm". IEEE International Conference on. FUZZ-IEEE 2009, pp. 29-34,2009.

Jae-Hoon Cho, Yong-Tae Kim, "Design of PID Controller for Magnetic Levitation RGV Using Genetic Algorithm Based on Clonal Selection",Korean Institute of Intelligent Systems, Vol. 22, No. 2, pp. 239-245, 2012. crossref(new window)