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Models and Algorithms for Predicting an Asynchronous Motor Heating when Changing Operation Modes

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Abstract

We present a six-mass model of transient heating and cooling processes of a low-voltage asynchronous motor when changing its operating modes. An analytical solution of the model has been obtained, which allowed us to establish regularization patterns of heating processes. In addition, a digital option of the model has been developed using the MATLAB/Simulink software environment. Based on the established regularization patterns of heating processes and results of computer simulation, algorithms for calculating the heating–cooling time constants and predicting the steady-state temperature of the front parts of the stator winding have been developed and tested using the current temperature–control data. The algorithms can be used in digital temperature–control systems for electric machines.

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Authors and Affiliations

  1. Gubkin National Research University of Oil and Gas, Moscow, Russia

    M. S. Yershov

  2. Moscow Institute of Physics and Technology, Dolgoprudny, Moscow, Russia

    E. A. Feoktistov

Authors
  1. M. S. Yershov
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  2. E. A. Feoktistov
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Correspondence to M. S. Yershov.

Additional information

Translated by G. Dedkov

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Yershov, M.S., Feoktistov, E.A. Models and Algorithms for Predicting an Asynchronous Motor Heating when Changing Operation Modes. Russ. Electr. Engin. 92, 712–719 (2021). https://doi.org/10.3103/S1068371221110043

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  • DOI: https://doi.org/10.3103/S1068371221110043

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