Methods of integrated optimization maglev transport systems

Authors

  • A. Lasher Technical University of Dresden, Professorship Electric Railways Systems, Mommsen St., 13, Dresden, Germany, D-01062, e-mail a.lasher@gmx.de, Germany
  • M. I. Umanov Dep. «Track and Track Facilities», Dnipropetrovsk National University of Railways Transport named after Academician V. Lazaryan, Lazaryan St., 2, Dnipropetrovsk, Ukraine, 49010, e-mail m.umanov@mail.ru, Ukraine
  • Ye. M. Frishman Dep. «Electronics», The Jerusalem College of Technology, Havaad Haleumi St., 21, Jerusalem, Israel, 91160, e-mail f688349@netvision.net.il, Israel
  • Ye. Prishedko «Transmag» Institute of Transport Systems and Technologies, Pisarzhevskiy St., 5, Dnipropetrovsk, Ukraine, 49005, e-mail kheltanya@gmail.com, Ukraine

DOI:

https://doi.org/10.15802/stp2013/17976

Keywords:

MTS, TRANSRAPID, MLX01, TRANSMAG, TRANSPROGRESS, electromagnetic suspension, electrodynamic suspension, permanent magnet suspension

Abstract

Purpose. To demonstrate feasibility of the proposed integrated optimization of various MTS parameters to reduce capital investments as well as decrease any operational and maintenance expense. This will make use of MTS reasonable. At present, the Maglev Transport Systems (MTS) for High-Speed Ground Transportation (HSGT) almost do not apply. Significant capital investments, high operational and maintenance costs are the main reasons why Maglev Transport Systems (MTS) are hardly currently used for the High-Speed Ground Transportation (HSGT). Therefore, this article justifies use of Theory of Complex Optimization of Transport (TCOT), developed by one of the co-authors, to reduce MTS costs. Methodology. According to TCOT, authors developed an abstract model of the generalized transport system (AMSTG). This model mathematically determines the optimal balance between all components of the system and thus provides the ultimate adaptation of any transport systems to the conditions of its application. To identify areas for effective use of MTS, by TCOT, the authors developed a dynamic model of distribution and expansion of spheres of effective use of transport systems (DMRRSEPTS). Based on this model, the most efficient transport system was selected for each individual track. The main estimated criterion at determination of efficiency of application of MTS is the size of the specific transportation tariff received from calculation of payback of total given expenses to a standard payback period or term of granting the credit. Findings. The completed multiple calculations of four types of MTS: TRANSRAPID, MLX01, TRANSMAG and TRANSPROGRESS demonstrated efficiency of the integrated optimization of the parameters of such systems. This research made possible expending the scope of effective usage of MTS in about 2 times. The achieved results were presented at many international conferences in Germany, Switzerland, United States, China, Ukraine, etc. Using MTS as an example, this research proved the sustainability of the proposed integrated optimization parameters of transport systems. This approach could be applied not only for MTS, but also for other transport systems. Originality. The bases of the complex optimization of transport presented are the new system of universal scientific methods and approaches that ensure high accuracy and authenticity of calculations with the simulation of transport systems and transport networks taking into account the dynamics of their development. Practical value. The development of the theoretical and technological bases of conducting the complex optimization of transport makes it possible to create the scientific tool, which ensures the fulfillment of the automated simulation and calculating of technical and economic structure and technology of the work of different objects of transport, including its infrastructure.

Author Biographies

A. Lasher, Technical University of Dresden, Professorship Electric Railways Systems, Mommsen St., 13, Dresden, Germany, D-01062, e-mail a.lasher@gmx.de

А. Лашер

M. I. Umanov, Dep. «Track and Track Facilities», Dnipropetrovsk National University of Railways Transport named after Academician V. Lazaryan, Lazaryan St., 2, Dnipropetrovsk, Ukraine, 49010, e-mail m.umanov@mail.ru

М. Уманов

Ye. M. Frishman, Dep. «Electronics», The Jerusalem College of Technology, Havaad Haleumi St., 21, Jerusalem, Israel, 91160, e-mail f688349@netvision.net.il

Є. Фрішман

Ye. Prishedko, «Transmag» Institute of Transport Systems and Technologies, Pisarzhevskiy St., 5, Dnipropetrovsk, Ukraine, 49005, e-mail kheltanya@gmail.com

 

 

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Published

2013-10-25

How to Cite

Lasher, A., Umanov, M. I., Frishman, Y. M., & Prishedko, Y. (2013). Methods of integrated optimization maglev transport systems. Science and Transport Progress, (5(47), 105–123. https://doi.org/10.15802/stp2013/17976

Issue

Section

ROLLING STOCK AND TRAIN TRACTION