Modeling certain operating conditions of asynchronous motors of mine hoists in SimInTech

The authors have modeled certain operating conditions of asynchronous motors of mine hoists. The first-developed models are described, and the curves of the electric energy characteristics are plotted in SimInTech. It is supposed to be possible to investigate peak loads of asynchronous motors of mine hoists in real time with a view to improving reliability of performance of process flows in mines. The article shows that the software implementation offers a tool for the analysis of the electric energy characteristics of mining machinery, in particular, modeling of operating conditions of asynchronous motor with the regard to the pre-proved hypothesis on feasibility of modeling various emergency states. This research creates a certain theoretical and practical backup in the sphere of modeling different operating conditions, including off-standard, of asynchronous motors using domestic software programs. The modeling data on asynchronous motors of mine hoists with the implementation of the proposed models in real time can serve a framework for the machine learning of components of automated control and statistics of electric energy at a mine. The research findings make it possible to draw a conclusion that domestic software program SimInTech applied as the modeling tool for operating conditions of asynchronous motors of mine hoists demonstrates its advantages over the existing foreign analogs. 

Sokolov A. A., Zakharov M. V., Orlova L. G., Kukartsev V. V., Stupina A. A. Modeling certain operating conditions of asynchronous motors of mine hoists in SimInTech. MIAB. Mining Inf. Anal. Bull. 2026;(2):47-58. [In Russ]. DOI: 10.25018/0236_1493_2026_2_0_47.

A.A. Sokolov¹, Cand. Sci. (Eng.), Acting Director, e-mail: anso@sfedu.ru, ORCID ID: 0000-0002-1127-9612, 
M.V. Zakharov¹, Cand. Sci. (Eng.), Assistant Professor, e-mail: mazakharov@sfedu.ru, ORCID ID: 0000-0002-0176-768X,
L.G. Orlova¹, Senior Lecturer, e-mail: lgorlova@sfedu.ru, ORCID ID: 0009-0001-3869-5501,
V.V. Kukartsev, Cand. Sci. (Eng.), Assistant Professor, Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia, Russian State Agrarian University — Moscow Timiryazev Agricultural Academy, Moscow, Russia, e-mail: vlad_saa_2000@mail.ru, ORCID ID: 0000-0001-6382-1736, 
A.A. Stupina, Dr. Sci. (Eng.), Professor, Russian State Agrarian University — Moscow Timiryazev Agricultural Academy, Moscow, Russia, Siberian Federal University, 660041, Krasnoyarsk, Russia, Siberian Fire and Rescue Academy of State Fire Service of the Ministry of Emergency Situations of Russia, 662972, Zheleznogorsk, Russia, e-mail: h677hm@gmail.com, ORCID ID: 0000-0002-5564-9267, 
¹ Branch of Southern Federal University in Gelendzhik, 353461, Gelendzhik, Russia.

A.A. Sokolov, e-mail: anso@sfedu.ru.

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