Model of pulsating current traction motor taking into consideration magnetic losses in steel
DOI:
https://doi.org/10.20998/2074-272X.2021.6.02Keywords:
pulsating current traction motor, eddy currents, magnetic losses, magnetic circuitAbstract
The aim of the work is to develop a mathematical model of the traction motor of the pulsating current of an electric locomotive taking into account the magnetic losses in the motor steel to determine the starting parameters depending on the voltage of the armature winding. Methodology. Mathematical modeling of electromagnetic processes in a traction motor of pulsating current is applied taking into account the nonlinear nature of the armature inductance, the inductance of the excitation winding and the nonlinear nature of the universal magnetic characteristic. The magnetic losses in the steel of the traction motor were taken into account by establishing the dependence of these losses on the frequency of reversal, the magnetic flux in the magnetic circuit of the motor and the geometric dimensions of the motor. Results. The mathematical model of calculation of starting parameters of the traction engine of the pulsating current of the traction drive of the electric locomotive of alternating current taking into account the equation of instantaneous value of losses in engine steel is developed. The dynamic characteristics of the traction motor with pulsating current are obtained. It allows to investigate starting parameters of the traction engine on the basis of the received mathematical model and to design elements of the traction drive of the electric locomotive according to the specification, to choose optimum design parameters. Originality. For the first time a comprehensive study of the pulsating current traction motor was carried out taking into account the nonlinear nature of the armature inductance, excitation winding inductance and nonlinear nature of the universal magnetic characteristic and taking into account the magnetic losses in the motor steel. Practical significance. The model of the traction motor of pulsating current taking into account losses in steel of the engine on the basis of the carried-out calculation is developed. Experimental studies have confirmed the adequacy of the model, which allows to apply the obtained model to develop a mathematical model of an AC electric locomotive to study the electrodynamic processes in it at different modes of operation of the electric locomotive.
References
Nayak B., Sahu S., Choudhury T.R. Parameter estimation of DC motor using adaptive transfer function based on Nelder-Mead optimization. Indonesian Journal of Electrical Engineering and Computer Science, 2018, vol. 9, no 3, pp. 696-702. doi: https://doi.org/10.11591/ijeecs.v9.i3.pp696-702.
Drubetskyi A.Y. Approximation of universal magnetic characteristic for modelling electric traction machines. Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport, 2017, no. 1(67), pp. 106-116. doi: https://doi.org/10.15802/stp2017/94031.
Kulinich Yu.M., Shukharev S.A., Drogolov D.Yu. Simulation of the pulsating current traction motor. VNIIZHT Scientific Journal, 2019, vol. 78, no. 5, pp. 313-319. (Rus). doi: https://doi.org/10.21780/2223-9731-2019-78-5-319.
Shepovalova O.V., Belenov A.T. Investigation of DC Motors Mechanical Characteristics with Powered by Comparable Capacity PV Array. Energy Procedia, 2017, vol. 119, pp. 990-994. doi: https://doi.org/10.1016/j.egypro.2017.07.132.
Evseev, V. Y., Savos’kin, A. N. A Mathematical Model of a Collector Traction Motor with Separate Consideration of Eddy Currents of the Main and Additional Poles. Russian Electrical Engineering, 2020, vol. 91, no 9, pp. 557-563. doi: https://doi.org/10.3103/s1068371220090047.
Litovchenko V.V., Nazarov D.V. Sharov V.A. Simulation Model of a Direct-Current Electric Locomotive with Commutator Traction Motors. Russian Electrical Engineering, 2020, vol. 91, no. 1, pp. 69-76. doi: https://doi.org/10.3103/s1068371220010071.
Spiryagin M., Wolfs P., Cole С., Spiryagin V., Sun Y.Q., McSweeney T. Design and Simulation of Heavy Haul Locomotives and Train. New York, Taylor & Francis Group, 2016. 477 р. doi: https://doi.org/10.1201/9781315369792.
Castaneda C.E., Loukianov A.G., Sanchez E.N., Castillo-Toledo B. Discrete-Time Neural Sliding-Mode Block Control for a DC Motor With Controlled Flux. IEEE Transactions on Industrial Electronics, 2012, vol. 59, no. 2, pp. 1194-1207. doi: https://doi.org/10.1109/TIE.2011.2161246.
Kharchenko V., Kostenko I., Liubarskyi B., Shaida V., Kuravskyi M., Petrenko О. Simulating the traction electric drive operation of a trolleybus equipped with mixed excitation motors and a DC-DC converter. Eastern-European Journal of Enterprise Technologies, 2020, vol. 3, no. 9 (105), pp. 46-54. doi: https://doi.org/10.15587/1729-4061.2020.205288.
Goolak S., Tkachenko V., Bureika G., Vaičiūnas G. Method of spectral analysis of traction current of AC electric locomotives. Transport, 2020, vol. 35, no 6, pp. 658-668. doi: https://doi.org/10.3846/transport.2020.14242.
Liu R., Li L. Calculation Method of Magnetic Material Losses Under DC Bias Using Statistical Loss Theory and Energetic Hysteresis Model. IEEE Transactions on Magnetics, 2019, vol. 55, no 10, pp. 1-4. doi: https://doi.org/10.1109/TMAG.2019.2921357.
Zhang H., Mueller M. Electromagnetic properties of curved HTS trapped field stacks under high-frequency cross fields for high-speed rotating machines. Superconductor Science and Technology, 2021, vol. 34, no 4, pp. 045018. doi: https://doi.org/10.1088/1361-6668/abe4b6.
Kwon H., Park H. Numerical Investigation of Optimal Air Flowrate for Cooling 600 W Brushless Direct-Current Motor. Journal of Thermal Science and Engineering Applications, 2021, vol. 13, no 4, pp. 041008. doi: https://doi.org/10.1115/1.4048755.
Rens J., Vandenbossche L., Dorez O. Iron Loss Modelling of Electrical Traction Motors for Improved Prediction of Higher Harmonic Losses. World Electric Vehicle Journal, 2020, vol. 11, no 1, p. 24. doi: https://doi.org/10.3390/wevj11010024.
Zhao J., Quan X., Jing M., Lin M., Li N. Design, Analysis and Model Predictive Control of an Axial Field Switched-Flux Permanent Magnet Machine for Electric Vehicle/Hybrid Electric Vehicle Applications. Energies, 2018, vol. 11, no. 7, pp. 1859. doi: https://doi.org/10.3390/en11071859.
Cheng G., Guo X., Wen Y., Wang Q., Li G., Zhou R. Electromagnetic Modeling and Analysis of 3-DOF Permanent Magnet Spherical Motor Using Magnetic Equivalent Circuit Method. 2018 21st International Conference on Electrical Machines and Systems (ICEMS), 2018, pp. 2643-2648. doi: https://doi.org/10.23919/ICEMS.2018.8548998.
Goolak S., Sapronova S., Tkachenko V., Riabov I., Batrak Y. Improvement of the model of power losses in the pulsed current traction motor in an electric locomotive. Eastern-European Journal of Enterprise Technologies, 2020, vol. 6, no. 5 (108), pp. 38-46. doi: https://doi.org/10.15587/1729-4061.2020.218542.
Goolak S., Tkachenko V., Sapronova S., Spivak O., Riabov I., Ostroverkh O. Determination of inductances for pulsating current traction motor. Technology audit and production reserves, 2021, vol. 2, no. 1(58), pp. 40-43. doi: https://doi.org/10.15587/2706-5448.2021.229217.
Petrenko A.N., Liubarskiy B.G., Pliugin V.E. Determination of railway rolling stock optimal movement modes. Electrical Engineering & Electromechanics, 2017, no. 6, pp. 27-31. doi: https://doi.org/10.20998/2074-272X.2017.6.04.
Buriakovskyi S.G., Maslii A.S., Panchenko V.V., Pomazan D.P., Denis I.V. The research of the operation modes of the diesel locomotive CHME3 on the imitation model. Electrical Engineering & Electromechanics, 2018, no. 2, pp. 59-62. doi: https://doi.org/10.20998/2074-272X.2018.2.10.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 S. Goolak, Ie. Riabov, V. Tkachenko, S. Sapronova, I. Rubanik
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
