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Procedure for the Accurate Modelling of Ring Induction Motors

Author

Listed:
  • Krzysztof Tomczyk

    (Faculty of Electrical and Computer Engineering, Cracow University of Technology, Warszawska 24, 31-155 Krakow, Poland)

  • Tomasz Makowski

    (Faculty of Electrical and Computer Engineering, Cracow University of Technology, Warszawska 24, 31-155 Krakow, Poland)

  • Małgorzata Kowalczyk

    (Mechanical Faculty, Cracow University of Technology, Jana Pawła II 37 Avenue, 31-864 Krakow, Poland)

  • Ksenia Ostrowska

    (Mechanical Faculty, Cracow University of Technology, Jana Pawła II 37 Avenue, 31-864 Krakow, Poland)

  • Piotr Beńko

    (Faculty of Environmental Engineering and Energy, Cracow University of Technology, 31-155 Krakow, Poland)

Abstract

This paper proposes a procedure for the accurate modelling of the ring induction motors (RIMs), based on the Monte Carlo (MC) method and the relations presented in the relevant metrology guidelines. Modelling was carried out based on the measured data for the torque-slip characteristic (TSC) and using the equivalent circuit for the RIM. The parameters included an extended Kloss equation (EKE) and the associated uncertainties were determined using the MC method. The polynomial procedure was applied as a numerical tool to complement the MC method to determine the power losses in the stator iron and the relevant uncertainty. This is in line with international standards for the theory of uncertainty application in the field of engineering. The novelty of this paper refers to the accurate modelling of the RIMs obtained by determining the corresponding uncertainties. The procedure presented in this paper was developed based on the assumption that the parameters of the equivalent circuit are independent of the temperature, influence of core saturation, and the phenomenon of current displacement. Our procedure can be successfully used for both the theoretical calculations related to the modelling of the RIMs, and in practical applications involving detailed measurements and the corresponding uncertainties. The use of the MC method allowed for significant improvement in the modelling results, in terms of both the TSC and EKE.

Suggested Citation

  • Krzysztof Tomczyk & Tomasz Makowski & Małgorzata Kowalczyk & Ksenia Ostrowska & Piotr Beńko, 2021. "Procedure for the Accurate Modelling of Ring Induction Motors," Energies, MDPI, vol. 14(17), pages 1-13, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5469-:d:627661
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    References listed on IDEAS

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    1. Fuad Un-Noor & Sanjeevikumar Padmanaban & Lucian Mihet-Popa & Mohammad Nurunnabi Mollah & Eklas Hossain, 2017. "A Comprehensive Study of Key Electric Vehicle (EV) Components, Technologies, Challenges, Impacts, and Future Direction of Development," Energies, MDPI, vol. 10(8), pages 1-84, August.
    2. Bangyong Sun & Han Liu & Shisheng Zhou & Wenli Li, 2014. "Evaluating the Performance of Polynomial Regression Method with Different Parameters during Color Characterization," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-7, July.
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    Cited by:

    1. Ryszard Palka, 2022. "The Performance of Induction Machines," Energies, MDPI, vol. 15(9), pages 1-4, April.
    2. Catalina González-Castaño & Carlos Restrepo & Javier Revelo-Fuelagán & Leandro L. Lorente-Leyva & Diego H. Peluffo-Ordóñez, 2021. "A Fast-Tracking Hybrid MPPT Based on Surface-Based Polynomial Fitting and P&O Methods for Solar PV under Partial Shaded Conditions," Mathematics, MDPI, vol. 9(21), pages 1-23, October.

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