CALCULATION OF MAGNETIC CHARACTERISTICS OF TRACTION ELECTRIC ENGINE WITH THE USE OF IMPROVED UNIVERSAL MAGNETIC CHARACTERISTICS

Authors

DOI:

https://doi.org/10.15802/stp2017/104559

Keywords:

universal magnetic characteristic, approximation, traction motor, magnetic characteristics

Abstract

Purpose. The article is aimed to develop a technique for calculating the magnetic characteristics of uncompensated traction electric motors (TEM) at any degree of attenuation of excitation based on the approximating expression for improved universal magnetic characteristics (UMC). It is also necessary to conduct an analysis of expressions for improved UMC with the aim of finding an expression that most fully satisfies the requirements for developing a technique for determining the inductive parameters of TEM. Methodology. It is necessary to determine the saturation coefficient for each degree of attenuation of the excitation for building the characteristics with the improved UMC. This can only be done analytically. To simplify the analytical finding of the saturation coefficient, the method based on solving a system of two equations is proposed, one of which is UMC itself, and the second one is a straight line whose angular coefficient is proportional to the saturation coefficient. Resulting values of the saturation coefficient for the excitation degrees β < 1 are essentially the coefficients of the shape of the magnetic characteristic. To get rid of the need to determine the coefficients of approximation each time in the calculation of characteristics a form of improved UMC is proposed, in which the magnetomotive force (MMF) of the excitation winding serves as the argument's role. Findings. Using the improved UMC it is possible to calculate the characteristics of uncompensated TEMs for any degree of attenuation of excitation. The accuracy of the calculation at β = 1 does not differ from that in the calculation for UMC, proposed by Prof. M. D. Nakhodkin. The same accuracy is preserved at excitation degrees that are different from unity. Originality. An analytical technique for calculating the magnetic (speed) characteristics of uncompensated TEM for any degree of attenuation with the help of an improved UMC is proposed. The analytical technique for determining the saturation coefficient for an improved UMC at any degree of attenuation of excitation is also proposed. Due to the introduction of an excitation winding as an argument, there is no need to determine the approximation coefficients for each specific TEM. Practical value. The developed methodology let calculate magnetic characteristics of uncompensated REMs for any degree of attenuation of excitation. On the basis of this technique, it is possible to develop a technique for determining the inductive parameters of the TEM, using the saturation coefficient of the machine as initial data.

Author Biography

A. Y. Drubetskyi, Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan

Dep. «Electric Rolling Stock of Railways»,
Lazaryan St., 2, Dnipro, Ukraine, 49010,
tel.  +38 (0562) 33 55 38

References

Afanasov, A. M. (2012). Approximation of the magnetic characteristics of the traction motors of electric rolling stock. Electromagnetic Compatibility and Safety on the Railway Transport, 4, 25-29.

Belkina, Y. N., & Zhukov, S. A. (2015). Analiz sposobov approksimatsii krivoy namagnichivaniya elektrotekhnicheskoy stali. Innovatsionnaya nauka, 5 (2), 22-27.

Belman, M. K. (1975). Perekhodnyye protsessy v mikrodvigatelyakh postoyannogo toka pri impulsnom pitanii. Leningrad: Energiya.

Voldek, A. I. (1978). Elektricheskiye mashiny (3rd ed.). Leningrad: Energiya.

Hetman, H. K., & Marikutsa, S. L. (2011). The analysis of analytical functions for approximative do-all magnetic characteristic of direct – current and undulated – current traction motors. Bulletin of Dnipropetrovsk National University of Railway Transport, 37, 63-71.

Hetman, H. K., & Golik, S. M. (2007). About the use of universal magnetic characteristics to calculate the electromechanical characteristics of traction motors. Bulletin of Dnipropetrovsk National University of Railway Transport, 16, 21-25.

Drubetskyi, A. Y. (2017). Approximation of universal magnetic characteristic for modelling electric traction machines. Science and Transport Progress, 1 (67), 106-116. doi: 10.15802/stp2017/94031

Ivanov-Smolenskiy, A. V. (1980). Elektricheskiye mashiny. Moscow: Energiya.

Kalantarov, P. L., & Tseytlin, L. A. (1986). Raschet induktivnostey: spravochnaya kniga (3rd ed.). Leningrad: Energoatomizdat.

Kostenko, M. P., & Piotrovskiy, L. M. (1972). Mashiny postoyannogo toka. Transformatory: Elektricheskiye mashiny (3rd ed.). Leningrad: Energiya.

Kostin, M. O., & Sheikina, O. H. (2006). Teoretychni osnovy elektrotekhniky (Vol. 1-3). Dnipropetrovsk: Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan Press.

Matyuk, V. F., & Osipov, A. A. (2011). The mathematical models of the magnetization curve and the magnetic hysteresis loops, Part 1: Analysis of models. Nerazrushayushchiy kontrol i diagnostika, 2, 3-35.

Shavelkin, A., Gerasimenko, V., Kostenko, I., & Movchan, A. (2016). Modeling of traction electric drive with DC series motors. Eastern-European Journal of Enterprise Technologies, 1-2(79), 42-48. doi: 10.15587/1729-4061.2016.60322

Nakhodkin, M. D., & Khvostov, V. S. (1958). Universalnaya magnitnaya kharakteristika. Vestnik elektropromyshlennosti, 1, 44-48.

All-Soviet Union Research Institute of Railway Transport. (1985). Pravila tyagovykh raschetov dlya poyezdnoy raboty. Moscow: Transport.

Nakhodkin, M. D., Vasilenko, G. V., Bocharov, V. I., & Kozorezov, M. A. (1976). Proyektirovaniye tyagovykh elektricheskikh mashin. Moscow: Transport.

Tishchenko, A. I. (Ed.). (1976). Spravochnik po elektropodvizhnomu sostavu teplovozam i dizel-poyezdam. Moscow: Transport.

Castaneda, C. E., Loukianov, A. G., Sanchez, E. N., & Castillo-Toledo, B. (2012). Discrete-Time Neural Sliding-Mode Block Control for a DC Motor With Controlled Flux. IEEE Transactions on Industrial Electronics, 59 (2), 1194-1207. doi: 10.1109/TIE.2011.2161246

Castañeda, C. E., & Esquivel, P. (2010). Direct current motor control based on high order neural networks using stochastic estimation. Proceedings of the 2010 International Joint Conference on Neural Networks IJCNNI, July 18-23, 2010, Barcelona, Spain. 1515-1520. doi: 10.1109/IJCNN.2010.5596331

Hayek, El. J., Sobczyk, T. J., & Skarpetowski, G. (2010). Experiences with a traction drive laboratory model. Electromotion, 17 (1), 30-36.

Spiryagin, M., Wolfs P., Cole, C., Sun, Y. Q., McClanachan, M., Spiryagin, V., & McSweeney, T. (2017). Design and Simulation of Heavy Haul Locomotives and Trains. New York: Taylor & Francis Group.

Zhang, Z., Zhao, X., Li, X., Lin, F., & Yang, Z. (2016). Electromechanical Coupled Vibration between Traction Motor and Bogie of High-Speed Train. Proceedings of the 6th International Conference on Mechatronics, Materials, Biotechnology and Environment ICMMBE-2016, August 13-14, 2016, Yinchuan, China. 153-158. doi: 10.2991/icmmbe-16.2016.30

Published

2017-06-19

How to Cite

Drubetskyi, A. Y. (2017). CALCULATION OF MAGNETIC CHARACTERISTICS OF TRACTION ELECTRIC ENGINE WITH THE USE OF IMPROVED UNIVERSAL MAGNETIC CHARACTERISTICS. Science and Transport Progress, (3(69), 66–76. https://doi.org/10.15802/stp2017/104559

Issue

Section

ELECTRIC TRANSPORT, POWER SYSTEMS AND COMPLEXES