Journal: Volume 27, No. 1, 2022
Pages: 24 – 36
DOI: https://doi.org/10.24025/2306-4412.1.2022.252812
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Estimation of errors in experimental study of induction motor parameters

Vladyslav Zaharchenko, Maryna Dobrolyubova, Oleksii Statsenko, Konstantyn Shevchenko
Received 22.11.2021
Revised 01.05.2022
Accepted 18.04.2022

Abstract

The article is devoted to solving the problem of analyzing the influence of errors of measuring instruments used during standardized tests of induction electric motors on the accuracy of estimating the parameters of substitution schemes of these motors. Statement of the problem. To ensure the efficient use of induction motors in adjustable electric drives, it is necessary to obtain information about the parameters of their substitution schemes. Analysis of recent research and publications. There are various methods for estimation of induction motor parameters, the use of which involves the creation of specified conditions and the use of appropriate equipment. But the basic approach is to use the methods given in the international standard IEC 60034-28: 2013. The main disadvantage of these standard methods is the lack of influence of metrological characteristics of measuring equipment on the accuracy of parameter determination. The purpose of the article is to determine the methodology of research and mathematical processing of results for calculating the parameters of substitution schemes of induction motors, as well as to estimate the impact of errors in measuring instruments on the accuracy of parameter determination. Results. In accordance with international standards, the article defines the methodology and sequence of experimental studies of induction motors required to estimate the parameters of substitution schemes in the nominal mode. Also in the article the algorithm of calculation of motor parameters is developed and analytical expressions for calculation of absolute errors of estimation of these parameters are received. The influence of errors of direct measurements on the accuracy of determining the parameters of an induction motor is also analyzed. Conclusion. The obtained results make it possible to determine the requirements for measuring equipment before conducting research of induction motors, which will increase the accuracy of estimating the parameters of induction motors

Keywords

References

[1] Austin Hughes, Electric Motors and Drives. Fundamentals, Types and Applications. Third ed. Elsevier Ltd., 2006.

[2] M. G. Popovich, O. Yu. Lozynsky, V. B. Klepikov et al., Electromechanical Automatic Control Systems and Electric Drives: textbook. Kyiv, Ukraine: Lybidʹ, 2005 [in Ukrainian].

[3] M. A. Yatsun, Electric Machines. Lviv, Ukraine: Vyd-vo Lviv. politekhniky, 2011 [in Ukrainian].

[4] M. O. Ostashevsʹkyy, and O. Yu. Yurieva, Electric Machines and Transformers: textbook, prof. V. I. Milykh, Ed. Kyiv, Ukraine: Karavela, 2018 [in Ukrainian].

[5] G. G. Pivnyak, and A. V. Volkov, Modern Frequency-Controlled Asynchronous Electric Drives with Pulse-Width Modulation. Dnepropetrovsk, Ukraine: NGU, 2006 [in Russian].

[6] M. V. Zahirnyak, V. B. Klepikov, S. M. Kovbasa et al., Energy Efficient Electromechanical Systems for a Wide Range of Technological Purposes: monograph. Kyiv, Ukraine: In-t elektrodynamiky NAN Ukrainy, 2018 [in Ukrainian].

[7] W. Leonhard, Control of Electrical Drives. Springer, 2001.

[8] R. Ramanujam. Modeling and Analysis of Electrical Machine. I K International Publishing House, 2018.

[9] O. P. Chornyy, A. V. Luhovoy, Y. Rodʹkin, H. Yu. Sysyuk, and O. V. Sadovoy, Modeling of Electromechanical Systems: textbook. Kremenchuk, Ukraine, 2001 [in Ukrainian]. 

[10] P. Vas, Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines. Oxford, New York: Oxford University Press, 1993.

[11] J. Tang, Y. Yang, F. Blaabjerg, J. Chen, L. Diao, and Z. Liu, Parameter Identification of Inverter-Fed Induction Motors: A review, Energies, vol. 11, p. 2194, 2018. doi: 10.3390/en11092194.

[12] J. J. Guedes, M. F. Castoldi, A. Goedtel, C. M. Agulhari, and D. S. Sanches, "Parameters estimation of three-phase induction motors using differential evolution", Electric Power Systems Research, vol. 154, pp. 204212, 2018. 

[13] S. Yang, D. Ding, X. Li, Z. Xie, X. Zhang, and L. Chang, "A novel online parameter estimation method for indirect field oriented induction motor drives", IEEE Trans. Energy Convers., vol. 32, pp. 1562-1573, 2017.

[14] S. M. Peresada, S. N. Kovbasa, and L. Pristupa, "Algorithm for identification of electrical parameters of an induction motor based on a full-order adaptive observer: Synthesis and experimental testing", Pratsi Instytutu elektrodynamiky Natsionalnoi akademii nauk Ukrainy, no. 34, pp. 27-34, 2013 [in Russian].

[15] A. P. Chernyy, D. I. Rod'kin A. P. Kalinov, and O. S. Vorobeychik, Monitoring of Parameters of Electric Motors of Electromechanical Systems: monograph. Kremenchug, Ukraine: ChP Shcherbatykh A.V., 2008 [in Russian]. 

[16] IEC 60034-28:2013. Rotating electrical machines - Part 28: Test methods for determining quantities of equivalent circuit diagrams for three-phase low-voltage cage induction motors.

[17] V. V. Kukharchuk, V. Yu. Kucheruk, Ye. T. Volodarsʹkyy, and V. V. Hrabko, Fundamentals of Metrology and Electrical Measurements. Vinnytsia, Ukraine: VNTU, 2012 [in Ukrainian].

Suggested citation

Zaharchenko, V., Dobrolyubova, M., Statsenko, O., & Shevchenko, K. (2022). Estimation of errors in experimental study of induction motor parameters . Bulletin of Cherkasy State Technological University, 27(1), 24-36. https://doi.org/10.24025/2306-4412.1.2022.252812