Improving a model of the induction traction motor operation involving non-symmetric stator windings
DOI:
https://doi.org/10.15587/1729-4061.2021.236825Keywords:
induction traction motor, traction drive of electric locomotive, asymmetry of windings, saturation of the magnetic circuitAbstract
The analysis of operating conditions of induction traction motors as part of traction electric drives of electric locomotives reported here has revealed that they are powered by autonomous voltage inverters with asymmetric non-sinusoidal voltage. It was established that the induction motor operation may be accompanied by defects caused by the asymmetrical modes of the motor stator. A model of the induction motor has been proposed that takes into consideration changes in the values of mutual inductance of phases and complete inductance of the magnetization circuit due to changes in the geometric dimensions of the winding caused by a certain defect. An algorithm that considers the saturation of the magnetic circuit of the electric motor has been proposed.
This approach to modeling an induction motor is important because if one of the stator's windings is damaged, its geometry changes. This leads to a change in the mutual inductance of phases and the complete inductance of the magnetization circuit. Existing approaches to modeling an induction motor do not make it possible to fully take into consideration these changes.
The result of modeling is the determined starting characteristics for an intact and damaged engine. The comparison of modeling results for an intact engine with specifications has shown that the error in determining the controlled parameters did not exceed 5 %. The modeling results for the damaged engine demonstrated that the nature of change in the controlled parameters did not contradict the results reported by other authors. The discrepancy in determining the degree of change in the controlled parameters did not exceed 10 %. That indicates a high reliability of the modeling results.
The proposed model of an induction electric motor could be used to investigate electromagnetic processes occurring in an electric motor during its operation as part of the traction drive of electric locomotives
References
- Babyak, M., Keršys, R., Neduzha, L. (2020). Improving the Dependability Evaluation Technique of a Transport Vehicle. Proceedings of 24th International Scientific Conference. Transport Means 2020. Pt. II. Kaunas, 646–651.
- Fomin, O. V. (2015). Increase of the freight wagons ideality degree and prognostication of their evolution stages. Scientific Bulletin of National Mining University, 3, 68–76. Available at: http://nv.nmu.org.ua/index.php/en/component/jdownloads/finish/54-03/8333-2015-03-fomin/0
- Kabalyk, Y. (2016). Determination of Energy Loss in Power Voltage Inverters for Power Supply of Locomotive Traction Motors. Procedia Engineering, 165, 1437–1443. doi: https://doi.org/10.1016/j.proeng.2016.11.876
- Kuznetsov, V., Lyubarskyi, B., Kardas-Cinal, E., Yeritsyan, B., Riabov, I., Rubanik, I. (2020). Recommendations for the selection of parameters for shunting locomotives. Archives of Transport, 56 (4), 119–133. doi: https://doi.org/10.5604/01.3001.0014.5650
- Kolpakhchyan, P., Zarifian, A., Andruschenko, A. (2017). Systems Approach to the Analysis of Electromechanical Processes in the Asynchronous Traction Drive of an Electric Locomotive. Studies in Systems, Decision and Control, 67–134. doi: https://doi.org/10.1007/978-3-319-51502-1_3
- Vlas’evskii, S. V., Malysheva, O. A., Marinich, L. P. (2019). Estimation of the Realization of Traction Force on the Adhesion of AC Electric Locomotives with an Asynchronous and Collector Drives. 2019 International Science and Technology Conference “EastConf.” doi: https://doi.org/10.1109/eastconf.2019.8725405
- Bonnet, V. V., Loginov, A. Y., Prudnikov, A. Y., Bonnet, Y. V., Bonnet, M. V. (2020). Method for determining the power of squirrel-cage induction motors. IOP Conference Series: Earth and Environmental Science, 421, 052009. doi: https://doi.org/10.1088/1755-1315/421/5/052009
- Prudnikov, A. Yu., Bonnet, V. V., Loginov, A. Yu. (2020). Method of diagnostics of the rotor eccentricity of an induction motor. Journal of Physics: Conference Series, 1515, 052030. doi: https://doi.org/10.1088/1742-6596/1515/5/052030
- Khechekhouche, A., Cherif, H., Benakcha, A., Menacer, A., Chehaidia, S. E., Panchal, H. (2020). Experimental diagnosis of inter-turns stator fault and unbalanced voltage supply in induction motor using MCSA and DWER. Periodicals of Engineering and Natural Sciences, 8 (3), 1202–1216. Available at: http://pen.ius.edu.ba/index.php/pen/article/view/1058/607
- Mirzaev, U., Abdurauf, A. (2021). Mathematical Model of an Asynchronous Motor in Full-Phase Operation. International Journal of Engineering and Information Systems (IJEAIS) ISSN, 5 (3), 10–14. Available at: https://ssrn.com/abstract=3815616
- Atiyah, A., Sulc, B. (2020). Role of Asynchronous Motor Modelling in Driven Railway Wheelset Dynamical Simulation Model. 2020 21th International Carpathian Control Conference (ICCC). doi: https://doi.org/10.1109/iccc49264.2020.9257241
- Diacenko, G. (2020). Rotor flux controller for induction machines considering main inductance saturation. Problemele Energeticii Regionale, 3 (47), 10–19. Available at: https://zenodo.org/record/4018933#.YOVZPZj7SUk
- Pal, R. S. C., Mohanty, A. R. (2021). A Simplified Dynamical Model of Mixed Eccentricity Fault in a Three-Phase Induction Motor. IEEE Transactions on Industrial Electronics, 68 (5), 4341–4350. doi: https://doi.org/10.1109/tie.2020.2987274
- Nasir, B. A. (2020). An Accurate Iron Core Loss Model in Equivalent Circuit of Induction Machines. Journal of Energy, 2020, 1–10. doi: https://doi.org/10.1155/2020/7613737
- Goolak, S., Tkachenko, V., Bureika, G., Vaičiūnas, G. (2021). Method of spectral analysis of traction current of AC electric locomotives. Transport, 35 (6), 658–668. doi: https://doi.org/10.3846/transport.2020.14242
- Goolak, S., Gubarevych, O., Yermolenko, E., Slobodyanyuk, M., Gorobchenko, O. (2020). Mathematical modeling of an induction motor for vehicles. Eastern-European Journal of Enterprise Technologies, 2 (2 (104)), 25–34. doi: https://doi.org/10.15587/1729-4061.2020.199559
- Zhang, R., Yin, Z., Du, N., Liu, J., Tong, X. (2021). Robust Adaptive Current Control of a 1.2 MW Direct-Drive PMSM for Traction Drives based on Internal Model Control with Disturbance Observer. IEEE Transactions on Transportation Electrification, 1–1. doi: https://doi.org/10.1109/tte.2021.3058012
- Deryabin, E. I., Zhuravleva, L. A. (2020). Electric traction drive of an agricultural tractor. IOP Conference Series: Earth and Environmental Science, 548, 032037. doi: https://doi.org/10.1088/1755-1315/548/3/032037
- Ferestade, I., Ahmadian, M., Molatefi, H., Moaveni, B., Bokaeian, V. (2020). Integrated sliding mode and direct torque controls for improving transient traction in high-speed trains. Journal of Vibration and Control, 27 (5-6), 629–650. doi: https://doi.org/10.1177/1077546320932027
- Liubarskyi, B., Petrenko, А., Shaida, V., Maslii, A. (2017). Analysis of optimal operating modes of the induction traction drives for establishing a control algorithm over a semiconductor transducer. Eastern-European Journal of Enterprise Technologies, 4 (8 (88)), 65–72. doi: https://doi.org/10.15587/1729-4061.2017.109179
- Shavolkin, O., Shvedchykova, I. (2018). Forming of Current of the Single-Phase Grid Inverter of Local Combined Power Supply System with a Photovoltaic Solar Battery. 2018 IEEE 3rd International Conference on Intelligent Energy and Power Systems (IEPS). doi: https://doi.org/10.1109/ieps.2018.8559540
- Yatsko, S., Vashchenko, Y., Sidorenko, A., Lyubarskyi, B., Yeritsyan, B. (2019). Electrical transport with onboard energy storage. International Journal of Renewable Energy Research (IJRER), 9 (2), 848–858. Available at: https://www.ijrer.org/ijrer/index.php/ijrer/article/view/9143/pdf
- Shavolkin, O., Shvedchykova, I. (2020). Improvement of the multifunctional converter of the photoelectric system with a storage battery for a local object with connection to a grid. 2020 IEEE KhPI Week on Advanced Technology (KhPIWeek). doi: https://doi.org/10.1109/khpiweek51551.2020.9250096
- Pustovetov, M. Y. (2018). Approach to Computer Implementation of Mathematical Model of 3-Phase Induction Motor. IOP Conference Series: Materials Science and Engineering, 327, 022085. doi: https://doi.org/10.1088/1757-899x/327/2/022085
- Pustovetov, M. Yu. (2016). Podhod k realizatsii na EVM matematicheskoy modeli asinhronnogo dvigatelya, prednaznachennoy dlya ispol'zovaniya v kachestve sostavnoy chasti modeley elektrotekhnicheskih kompleksov i sistem. Modelirovanie. Teoriya, metody i sredstva: Materialy 16-oy Mezhdunarodnoy nauchno-prakticheskoy konferentsii, posvyaschennoy 110-letiyu Yuzhno-Rossiyskogo gosudarstvennogo politekhnicheskogo universiteta (NPI) imeni M.I. Platova. Novocherkassk, 332–345. Available at: https://www.elibrary.ru/item.asp?id=27557409
- Goolak, S., Gerlici, J., Tkachenko, V., Sapronova, S., Lack, T., Kravchenko, K. (2019). Determination of Parameters of Asynchronous Electric Machines with Asymmetrical Windings of Electric Locomotives. Communications - Scientific Letters of the University of Zilina, 21 (2), 24–31. doi: https://doi.org/10.26552/com.c.2019.2.24-31
- Carbonieri, M., Bianchi, N. (2020). Induction Motor Rotor Losses Analysis Methods Using Finite Element. 2020 IEEE International Conference on Industrial Technology (ICIT). doi: https://doi.org/10.1109/icit45562.2020.9067209
- Accetta, A., Cirrincione, M., Pucci, M., Sferlazza, A. (2020). Space‐vector state dynamic model of SynRM considering self‐ and cross‐saturation and related parameter identification. IET Electric Power Application, 14 (14), 2798–2808. doi: https://doi.org/10.1049/iet-epa.2020.0504
- Zagirnyak, M., Kalinov, A., Melnykov, V., Stakhiv, P. (2016). Fault-tolerant control of an induction motor with broken stator electric circuit. 2016 Electric Power Networks (EPNet). doi: https://doi.org/10.1109/epnet.2016.7999372
- Zagirnyak, M., Kalinov, A., Melnykov, V. (2017). Variable-frequency electric drive with a function of compensation for induction motor asymmetry. 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON). doi: https://doi.org/10.1109/ukrcon.2017.8100505
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Copyright (c) 2021 Sergey Goolak, Borys Liubarskyi, Svitlana Sapronova, Viktor Tkachenko, Ievgen Riabov, Marina Glebova
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