METHODOLOGICAL RECOMMENDATIONS FOR THE APPLICATION OF THE MODEL OF PHYSICAL PROCESSES IN THREE-PHASE ASYNCHRONOUS MOTOR
DOI:
https://doi.org/10.32703/2617-9040-2018-32-1-4-13Keywords:
electromagnetic converter, model of physical processes, phase zonesAbstract
The principle of operation of a three-phase asynchronous motor with a short-circuited rotor is considered and the theoretical bases of the transformation of electric energy in electromechanical converters of an electromagnetic type are analyzed. In order to construct a mathematical model of an asynchronous motor with a short-circuited rotor for obtaining characteristics to describe the dynamics of electrical asynchronous machines, the physical configuration, which is typical for most electric machines, is proposed. An approach to choose a coordinate system has been developed in which the system of equations describing the operation of the asynchronous motor would be described. Requirements for the magnetic system and phase zones of the model have been developed, which in the future can be used to determine the parameters of the mathematical model of the asynchronous motor, which cannot be determined by the catalog and reference data. In developing the requirements for the magnetic system and phase zones, it is taken into account that windings of the asynchronous motor can be both symmetric and asymmetric. The developed requirements can be used to develop a method for analytical determining the parameters of an asynchronous motor, which will allow the specified parameters to be determined as a function of the geometric dimensions of the windings of the engine.
References
1. Ruan, J. Y., & Wang, S. M. (2016). Magnetizing curve estimation of induction motors in single-phase magnetization mode considering differential inductance effect. IEEE Transactions on Power Electronics, 31(1), 497-506.
2. Chioncel, C. P., Tirian, G. O., Gillich, N., & Raduca, E. (2016). Vector control structure of an asynchronous motor at maximum torque. In IOP Conference Series: Materials Science and Engineering (Vol. 106, No. 1, p. 012005). IOP Publishing.
3. Pakkiraiah, B., & Sukumar, G. D. (2016). A new modified artificial neural network based MPPT controller for the improved performance of an asynchronous motor drive. Indian Journal of Science and Technology, 9(45).
4. Guo, Z., & Zhang, Q. W. (2018, July). The Study on Mathematical Model and Simulation of Asynchronous Motor Considering Iron Loss. In Journal of Physics: Conference Series (Vol. 1060, No. 1, p. 012085). IOP Publishing.
5. Dementyev, Y. N., & Umurzakova, A. D. (2014). The engine mechanical coordinates measuring in the asynchronous motor. In MATEC Web of Conferences (Vol. 19, p. 01027). EDP Sciences.
6. Balara, D., Timko, J., Žilková, J., & Lešo, M. (2017). Neural networks application for mechanical parameters identification of asynchronous motor. Neural Network World, 27(3), 259.
7. Kuznecov, V. V., & Nikolenko, A. V. (2015). On models of asynchronous motor operation in conditions of poor-quality electricity. Vostochno-Evropejskij zhurnal peredovyh tekhnologij, (1 (8)), 37-42.
8. Pustovetov, M. YU., Soltus, K. P., & Sinyavskij, I. V. (2013). Computer simulation of induction motors and transformers.
9. Mugalimov, R. G., Hramshin, R. YA., & Mugalimova, A. R. (2016). Comparative analysis of methods for calculating the parameters of the electrical equivalent circuit of asynchronous motors. EHlektrotekhnika: setevoj ehlektronnyj nauchnyj zhurnal, 3(1), 36-40.
10. Goolak, S. O., Yermolenko, E. K., Usvatov, M. O., & CHernih, YU. M. (2016). Determination of generalized dynamic variable induction motor. Zbіrnik naukovih prac' Derzhavnogo ekonomіko-tekhnologіchnogo unіversitetu transportu. Serіya: Transportnі sistemi і tekhnologії, (29), 143-153.
11. Martinez, J., Belahcen, A., & Arkkio, A. (2014). 3D permeance model of induction machines taking into account saturation effects and its connection with stator current and shaft speed spectra. IET Electric Power Applications, 9(1), 20-29.
Література:
1. Ruan J.-Y., Wang S.-M. Magnetizing Curve Estimation of Induction Motors in Single-Phase Magnetization Mode Considering Differential Inductance Effect/J.-Y. Ruan, S.-M. Wang//IEEE Transactions On Power Electronics. – 2016. - Vol.: 31, №. 1. – P. 497-506. - Available at: www.ieee.org.
2. Chioncel C. P., Tirian G. O., Gillich N., Raduca E. Vector control structure of an asynchronous motor at maximum torque/C P Chioncel, G O Tirian, N Gillich, E Raduca// International Conference on Applied Sciences – 2015. Р. 1 – 6. - DOI:10.1088/1757-899X/106/1/012005.
3. Pakkiraiah B., Sukumar G.D. A New Modified Artificial Neural Network Based MPPT Controller for the Improved Performance of an Asynchronous Motor Drive/B. Pakkiraiah, G.D. Sukumar// Indian Journal of Science and Technology. -2016 – Vol.: 9(45). –Р. 1 -10. - DOI: 10.17485/ijst/2016/v9i45/105313.
4. Guo Z., Zhang Q.-wei. The Study on Mathematical Model and Simulation of Asynchronous Motor Considering Iron Loss /Z. Guo, Q.-wei Zhang //Journal of Physics: Conf. Series 1060. – 2018. – Р. 1 – 6. - DOI:10.1088/1742-6596/1060/1/012085.
5. Dementyev Y.N., Umurzakova A.D. The Engine Mechanical Coordinates Measuring In The Asynchronous Motor/Y.N. Dementyev, A.D. Umurzakova//MATEC Web of Conferences. – 2014. – Р. 01027-p.1 - 01027-p.6. - DOI: 10.1051/ matecconf/20141901027.
6. Balara D., Timko J., Zilkov J., A. M. Le so. Neural Networks Application For Mechanical Parameters Identification Of Asynchronous Motor/D. Balara, J. Timko, J. Zilkov, A. M. Le so// Neural Network World – 2017, №3. – Р. 259 – 270. - DOI: 10.14311/NNW.2017.27.013.
7. Кузнецов В.В., Николенко А.В. О моделях функционирования асинхронного двигателя в условиях некачественной электроэнергии / В.В. Кузнецов, А.В. Николенко // Восточно-Европейский журнал передовых технологий. Энергосберегающие технологии и оборудование. – 2015. – Т.1, №8(73). – С. 37 – 42. - DOI: 10.15587/1729-4061.2015.36755.
8. Пусоветов М., Солтус К., Сенявский И. Компьютерное моделирование асинхронных двигателей и трансформаторов/ М. Пусоветов, К. Солтус, И. Сенявский // LAP LAMBERT. Academic Hublishing. - 2013 – 199 с.
9. Мугалимов Р.Г., Мугалимова А.Р., Храмшин Р.Я. Сравнительный анализ методик расчета параметров электрических схем замещения асинхронных двигателей/ Р.Г. Мугалимов, А.Р. Мугалимова, Р.Я. Храмшин // Электротехника: сетевой электронный научный журнал. - 2016. – Т. 3, №1. – С. 36 – 40.
10. Гулак С. О., Єрмоленко Е. К., Усватов М. О., Черних Ю. М. Визначення динамічних змінних узагальненого асинхронного двигуна / С.О. Гулак, Е.К. Єрмоленко, Ю.М. Черних, М.О. Усватов // Збірник наукових праць Державного економіко-технологічного університету транспорту Міністерства освіти і науки України: Серія «Транспортні системи і технології». – Вип. 29. – К.: ДЕТУТ, 2016. – С. 143 – 153.
11. Martinez J., Belahcen A., Arkkio A. 3D permeance model of induction machines taking into account saturation effects and its connection with stator current and shaft speed spectra/J. Martinez, A. Belahcen, A. Arkkio IET Electric Power Applications. – 2015. – Р. – Vol. 9, Is. 1. - 20 – 29. - DOI: 10.1049/iet-epa.2014.001.
Downloads
Published
Issue
Section
License
Copyright: This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
