Refined calculation of induction motor equivalent circuit nonlinear parameters by an energy method

Authors

DOI:

https://doi.org/10.15587/1729-4061.2017.104146

Keywords:

induction motor, energy method, equivalent circuit, nonlinear electromagnetic parameters

Abstract

The topicality of the research aim is caused by the analysis of the processes of energy conversion taking into account the induction motor particular nonlinearities that reveal the physical properties and phenomena in structural materials under the action of electrical and electromagnetic impacts. Taking into consideration the nonlinearities of the induction motor equivalent circuit influences the accuracy of determination of the electric machine operating characteristics. Most conventional methods for parameter identification do not enable assessment of the induction motor nonlinear characteristics and properties.

It is proposed to use resistive impedance and inductance dependences on the rotor current to take into account the rotor nonlinear parameters. To form identification equations, the instantaneous power components for the rotor nonlinear resistive impedance and nonlinear inductance have been obtained. The solution of the identification equations resulted in determination of the equivalent circuit electromagnetic parameters taking into account the rotor nonlinear parameters and the amplitudes of the harmonics of the current cosine and sine components of the rotor and magnetization circuit. The results of identification of the induction motor equivalent circuit parameters taking into account the rotor nonlinear parameters have been obtained with sufficient accuracy. This is confirmed by a low error of determination of the electromagnetic parameters. The adequacy of the identified parameters is determined by comparison of the stator current experimental and calculated curves

Author Biographies

Mykhaylo Zagirnyak, Kremenchuk Mykhailo Ostrohradskyi National University Pershotravneva str., 20, Kremenchuk, Ukraine, 39600

Doctor of Technical Sciences, Professor, Rector

Department of Electric Machines and Devices 

Dmytro Rod'kin, Kremenchuk Mykhailo Ostrohradskyi National University Pershotravneva str., 20, Kremenchuk, Ukraine, 39600

Doctor of Technical Sciences, Professor, Head of Department

Department of Systems of Automatic Control and Electric Drive 

Iurii Romashykhin, Kremenchuk Mykhailo Ostrohradskyi National University Pershotravneva str., 20, Kremenchuk, Ukraine, 39600

PhD, Associate Professor

Department of Systems of Automatic Control and Electric Drive 

Zhanna Romashykhina, Kremenchuk Mykhailo Ostrohradskyi National University Pershotravneva str., 20, Kremenchuk, Ukraine, 39600

PhD

Department of Electric Machines and Devices 

Anatoliy Nikolenko, National metallurgical academy of Ukraine Gagarina ave., 4, Dnipro, Ukraine, 49600

PhD, Associate Professor, Head of Department

Department of the electrical engineering and electromechanic

Vitaliy Kuznetsov, National metallurgical academy of Ukraine Gagarina ave., 4, Dnipro, Ukraine, 49600

PhD, Associate Professor

Department of the electrical engineering and electromechanic

References

  1. Voldek, A. I., Popov, V. V. (2010). Electrical Machines. Machines of alternating current. Sankt-Peterburg, 356.
  2. Voliansky, R., Sadovoy, A. (2015). Synthesis of active compensation system of spring oscillation in two–mass electromechanical object. Eastern-European Journal of Enterprise Technologies, 4 (7 (76)), 21–26. doi: 10.15587/1729-4061.2015.47178
  3. Maga, D., Zagirnyak, M., Miljavec, D. (2010). Additional losses in permanent magnet brushless machines. Proceedings of 14th International Power Electronics and Motion Control Conference EPE-PEMC 2010. doi: 10.1109/epepemc.2010.5606520
  4. Zagirnyak, M., Romashykhina, Z., Kalinov, A. (2016). Diagnostic signs of induction motor broken rotor bars in electromotive force signal. 2016 17th International Conference Computational Problems of Electrical Engineering (CPEE). doi: 10.1109/cpee.2016.7738722
  5. Hasegawa, M., Ogawa, D., Matsui, K. (2008). Parameter Identification Scheme for Induction Motors Using Output Inter-Sampling Approach. Asian Power Electronics Journal, 2 (1), 15–22.
  6. Rodkin, D. I., Romashihin, Y. V. (2012). Rationale for settlement circuit for induction motors. Technical Electrodynamics, 2, 89–90.
  7. Park, J., Kim, B., Yang, J., Lee, S. B., Wiedenbrug, E. J., Teska, M., Han, S. (2010). Evaluation of the detectability of broken rotor bars for double squirrel cage rotor induction motors. 2010 IEEE Energy Conversion Congress and Exposition. doi: 10.1109/ecce.2010.5617950
  8. Benecke, M., Doebbelin, R., Griepentrog, G., Lindemann, A. (2011). Skin effect in squirrel cage rotor bars and its consideration in simulation of non-steady-state operation of induction machines. Piers online, 7 (5), 421–425.
  9. Popenda, A. (2012). Model-simulation investigations of induction motor with the consideration of skin effect in rotor bars. Przeglad elektrotechniczny, 88 (12), 29–31.
  10. Lee, S.-H., Yoo, A., Lee, H.-J., Yoon, Y.-D., Han, B.-M. (2017). Identification of Induction Motor Parameters at Standstill Based on Integral Calculation. IEEE Transactions on Industry Applications, 53 (3), 2130–2139. doi: 10.1109/tia.2017.2650141
  11. Zagirnyak, M., Kalinov, A., Romashykhina, Zh. (2016). Decomposition of electromotive force signal of stator winding in induction motor at diagnostics of the rotor broken bars. Scientific Bulletin of National Mining University, 4 (154), 54–61.
  12. Emara, H. M., Elshamy, W., Bahgat, A. (2008). Parameter identification of induction motor using modified Particle Swarm Optimization algorithm. 2008 IEEE International Symposium on Industrial Electronics. doi: 10.1109/isie.2008.4677254
  13. Karanayil, B., Rahman, M. F., Grantham, C. (2009). Identification of Induction Motor Parameters in Industrial Drives with Artificial Neural Networks. Advances in Fuzzy Systems, 2009, 1–10. doi: 10.1155/2009/241809
  14. Mosyundz, D. (2012). Energy method of nonlinear inductance parameters identification. XIV International PhD Workshop, OWD, 456–460.
  15. Zagirnyak, M., Rodkin, D., Romashykhin, I., Rudenko, N., Chenchevoi, V. (2016). Identification of nonlinearities of induction motor equivalent circuits with the use of the instantaneous power method. 2016 17th International Conference Computational Problems of Electrical Engineering (CPEE). doi: 10.1109/cpee.2016.7738721
  16. Shimoni, K. (2013). Theoretical electrical engineering. Мoscow: Ripol Klassik, 778.
  17. Akagi, H., Watanabe, M. (2007). Instantaneous Power Theory and Applications to Power Conditioning. New York: Wiley, 379.

Downloads

Published

2017-06-30

How to Cite

Zagirnyak, M., Rod’kin, D., Romashykhin, I., Romashykhina, Z., Nikolenko, A., & Kuznetsov, V. (2017). Refined calculation of induction motor equivalent circuit nonlinear parameters by an energy method. Eastern-European Journal of Enterprise Technologies, 3(5 (87), 4–10. https://doi.org/10.15587/1729-4061.2017.104146

Issue

Section

Applied physics