International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies

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:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies

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ISSN 2228-9860
eISSN 1906-9642
CODEN: ITJEA8


FEATURE PEER-REVIEWED ARTICLE

Vol.11(3) (2020)

  • BEHAVIORAL SIMULATION OF INDUCTION MOTOR TEMPERATURE DISTRIBUTION

    Alexander A. Pugachev, A.Yu. Drakin, A.N. Shkolin (Industrial Electronics and Electrical Engineering, Bryansk State Technical University, RUSSIA )

    Disciplinary: Electrical Engineering (Motor Engineering).

    ➤ FullText

    DOI: 10.14456/ITJEMAST.2020.46

    Keywords: Asynchronous motor; AC electric motor; Behavioral simulation; Equivalent thermal circuit; Power losses; Finite element model; Differential equations; Control system; State and rotor windings; Cooling system; Overheating.

    Abstract
    The paper justifies the need to monitor and control the thermal state of the induction motor as a whole and its windings, as the most heat-loaded elements. A review of modern methods of measuring and determining the temperature of windings (including rotating) is carried out. It showed trends in the use of non-contact methods for determining temperature using mathematical models based on the finite element method and relevant thermal equivalent circuits. To determine the temperature distribution, an equivalent thermal model of an induction motor, consisting of 53 nodes, 31 of which are heat generating was developed. To determine the losses, a T-shaped equivalent circuit for replacing motor windings was used, taking into account losses in steel, non-linearity of the magnetization curve and the effect of current displacement in the rotor winding. The simulation results in steady and transient modes are presented.

    Paper ID: 11A03F

    Cite this article:

    Alexander A. Pugachev, A. A., Drakin, A.Yu., Shkolin, A.N. (2020). BEHAVIORAL SIMULATION OF INDUCTION MOTOR TEMPERATURE DISTRIBUTION. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 11(3), 11A03F, 1-18. http://doi.org/10.14456/ITJEMAST.2020.46



References

  1. Aissa, K., & Eddine, K. D. (2009). Vector control using series iron loss model of induction motors and power loss minimization. World Academy of Science, Engineering and Technology, 52, 142-148.
  2. Briz, F., Degner, M. W., Guerrero, J. M., & Diez, A. B. (2008). Temperature estimation in inverter-fed machines using high-frequency carrier signal injection. IEEE Transactions on Industry Applications, 44(3), 799-808.
  3. Champenois, G., Roye, D., & Zhu, D. S. (1994). Electrical and thermal performance predictions in inverter-fed squirrel-cage induction motor drives. Electric machines and power systems, 22(3), 355-369.
  4. Huai, Y., Melnik, R. V., & Thogersen, P. B. (2003). Computational analysis of temperature rise phenomena in electric induction motors. Applied Thermal Engineering, 23(7), 779-795.
  5. Kosmodamianskii, A. S., & Pugachev, A. A. (2018). Modeling of Sensorless Determination of the Resistance and Temperature of the Stator and Rotor Windings of an Asynchronous Motor. Russian Electrical Engineering, 89(9), 512-517.
  6. Kosmodamianskii, A. S., Vorob’ev, V. I., & Pugachev, A. A. (2012). Induction motor drives with minimal power losses. Russian Electrical Engineering, 83(12), 667-671.
  7. Kosmodamianskii, A. S., Vorob’ev, V. I., & Pugachev, A. A. (2015). Direct torque control of induction motors fed by a single frequency converter. Russian Electrical Engineering, 86(9), 527-533.
  8. Kosmodamianskii, A. S., Vorobiev, V. I., & Pugachev, A. A. (2011). The temperature effect on the performance of a traction asynchronous motor. Russian Electrical Engineering, 82(8), 445.
  9. Kosmodamianskiy, A. S., Vorobiev, V. I., & Pugachev, A. A. (2015). Automatic temperature regulation system of locomotive traction induction motors with power losses minimization. Journal of Information Technology & Application, 9(1).
  10. Krishnan, V. (2001). Electric Motor Drives: modeling, analysis and control. Virginia Tech, Blacksburg, VA.
  11. Kylander, G. (1995). Thermal modelling of small cage induction motors. Chalmers University of Technology.
  12. Lim, S., & Nam, K. (2004). Loss-minimising control scheme for induction motors. IEE Proceedings-Electric Power Applications, 151(4), 385-397.
  13. Mahdavi, S., Herold, T., & Hameyer, K. (2013, October). Thermal modeling as a tool to determine the overload capability of electrical machines. In 2013 International Conference on Electrical Machines and Systems (ICEMS) (pp. 454-458). IEEE.
  14. Mellor, P. H., Roberts, D., & Turner, D. R. (1991, September). Lumped parameter thermal model for electrical machines of TEFC design. In IEE Proceedings B (Electric Power Applications), 138(5), 205-218), IET Digital Library.
  15. Mezani, S., Takorabet, N., & Laporte, B. (2005). A combined electromagnetic and thermal analysis of induction motors. IEEE transactions on Magnetics, 41(5), 1572-1575.
  16. Motor Reliability Working Group. (1985). Report of large motor reliability survey of industrial and commercial installations, Part I. IEEE Trans. Industrial Applications, 1(4), 865-872.
  17. Novotny, D. W., & Lipo, T. A. (1996). Vector control and dynamics of AC drives (Vol. 1). Oxford university press.
  18. Pugachev, A. A., & Kosmodamianskii, A. S. (2017). A simplified equivalent thermal circuit for the substitution of a stator in an induction motor. Russian Electrical Engineering, 88(9), 600-604.
  19. Staton, D. A. (2001, June). Thermal computer aided design-advancing the revolution in compact motors. In IEMDC 2001. IEEE International Electric Machines and Drives Conference (Cat. No. 01EX485) (pp. 858-863). IEEE.
  20. Staton, D. A., & Cavagnino, A. (2008). Convection heat transfer and flow calculations suitable for electric machines thermal models. IEEE transactions on industrial electronics, 55(10), 3509-3516.
  21. Trigeol, J. F., Bertin, Y., & Lagonotte, P. (2006). Thermal modeling of an induction machine through the association of two numerical approaches. IEEE Transactions on Energy Conversion, 21(2), 314-323.


Other issues:
Vol.12(2)(2021)
Vol.12(1)(2021)
Vol.11(16)(2020)
Vol.11(15)(2020)
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