Design, optimization, and control of a linear tubular machine integrated with levitation and guidance for maglev applications

Document Type : Article

Authors

1 Departmanet of Electerical and Computer Engineering, Qom University of Technology, Qom, Iran

2 Department of Energy Technology, Aalborg University, Aalborg, Denmark

Abstract

Nowadays, with the increase of population, demand for efficient public transportation systems has increased. Magnetic levitation (maglev) trains are one of the best choices for the future. There are three separated systems in a classical magnetic train to achieve desirable performance. Hence, several control systems and sensors are essential for train operation. Accordingly, the classical maglev trains include complex structures, and they are so expensive. This paper presents the design, optimization, and control of a combined magnetic train structure with the integrated performance of suspension and guidance and a complementary propulsion system. These combined topologies provide a simple design, more convenient movement, and reduce construction and operation costs.

Keywords

References

References:
1. Lee, H.W., Kim, K.C., and Lee, J. "Review of maglev train technologies", IEEE Transactions on Magnetics, 42(7), pp. 1917-1925 (2006).
2. Wang, L., Yu, P., Li, J., et al. "Suspension system status detection of maglev train based on machine learning using levitation sensors", In Control And Decision Conference (CCDC), 2017 29th Chinese, pp. 7579-7584, IEEE (2017).
3. Lai, Q., Liu, J., Haghani, A., et al. "Energy-efficient speed profile optimization for medium-speed maglev trains", Transportation Research Part E: Logistics and Transportation Review, p. 141, 102007 (2020).
4. Hasirci, U., Balikci, A., Zabar, Z., et al. "3-D FEM analysis of a novel magnetic levitation system", IEEE Transactions on Plasma Science, 43(5), pp. 1261-1265 (2015).
5. Nasiri-Zarandi, R., and Hekmati, A. "A review of suspension and traction technologies in maglev trains", 2019 International Power System Conference (PSC), IEEE (2019).
6. Hasirci, U., Balikci, A., Zabar, Z., et al. "Experimental performance investigation of a novel magnetic levitation system", IEEE Transactions on Plasma Science, 41(5), pp. 1174-1181 (2013).
7. hen, Q., Tan, Y., Li, J., et al. "Model-guided datadriven decentralized control for magnetic levitation systems", IEEE Access 6, pp. 43546-43562 (2018).
8. Qiang, C., Shao-ke, L., and Jie, L. "Control method research on combined-levitation-and-propulsion system used in maglev vehicles", In Chinese Automation Congress (CAC), IEEE, pp. 487-490 (2013).
9. Kuptsov, V., Fajri, P., Magdaleno-Adame, S., et al. "A new system of combined propulsion and levitation for maglev transportation", 2020 IEEE Applied Power Electronics Conference and Exposition (APEC), IEEE (2020).
10. Yoshida, K., Yoshida, T., Manabe, S., et al. "Control of new PM LSM maglev vehicle based on analysis of pitching torque and propulsion force", 2007 IEEE International Symposium on Industrial Electronics, IEEE (2007).
11. Lu, Y.S. and Berkelman, P. "Design and evaluation of state and disturbance observers for a multivariable magnetic levitation system", IETE Journal of Research, 69(1), pp. 420-437 (2023).
12. Jeong, J.H., Ha, C.W., Lim, J., et al. "Analysis and control of the electromagnetic coupling effect of the levitation and guidance systems for a semi-high-speed maglev using a magnetic equivalent circuit", IEEE Transactions on Magnetics, 52(7), pp. 1-4 (2016).
13. Huang, D., Chen, C., Huang, T., et al. "An active repetitive learning control method for lateral suspension systems of high-speed trains", IEEE Transactions on Neural Networks and Learning Systems, 31(10), pp. 4094-4103 (2019).
14. Tunceroglu, C., Hasirci, U., Maden, D., et al. "The experimental test results of a two-section linear induction launcher", IEEE Transactions on Plasma Science, 48(11), pp. 4041-4047 (2020).
15. Kim, K.B., Levi, E., Zabar, Z., et al. "Restoring force between two noncoaxial circular coils", IEEE Transactions on Magnetics, 32(2), pp. 478-484 (1996).
16. Esfahanian, H.R., Hasanzadeh, S., and Heydari, M. "Performance analysis and force components improvement of an tubular linear induction motor used in a novel magnetic train by 3-D FEM", In Electrical Engineering (ICEE), Iranian Conference on IEEE, pp. 1368-1372 (2018).
17. Hasirci, U., Balikci, A., Zabar, Z., et al. "A novel magnetic-levitation system: design, implementation, and nonlinear control", IEEE Transactions on Plasma Science, 39(1), pp. 492-497 (2011).
18. Kwakernaak, H. and Sivan, R., Linear Optimal Control Systems, 1., New York: Wiley-Interscience (1972).
Scientia Iranica
Volume 30, Issue 4 - Serial Number 4
Transactions on Computer Science & Engineering and Electrical Engineering (D)
July and August 2023
Pages 1330-1341

Files

History

  • Receive Date: 09 January 2021
  • Revise Date: 24 August 2021
  • Accept Date: 18 October 2021

Share

How to cite

Statistics