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DOI: 10.15507/2658-4123.036.202601.140-157

UDK 628.8:001.8

 

Simulating the Process of Vertical Tillage with a Turbo-Disc Cultivator for the Territories of Crimea

 

Anatoly P. Savelyev
Dr.Sci. (Eng.), Professor, Professor of the Chair of Life Safety, National Research Mordovian State University (68 Bolshevistskaya St., Saransk 430005, Russian Federation), ORCID: https://orcid.org/0000-0003-0361-0827, Scopus ID: 57220747901, Researcher ID: AAB-2078-2021, SPIN-code: 2865-2693, This email address is being protected from spambots. You need JavaScript enabled to view it.

Nozim I. Jabborov
Dr.Sci. (Eng.), Professor, Leading Researcher of the Department of Agroecology in Crop Production, Institute for Engineering and Environmental Problems in Agricultural Production branch of Federal Scientific Agroengineering Center VIM (3 Filitrovskoe Shosse, Tiarlevo, St. Petersburg 196625, Russian Federation), ORCID: https://orcid.org/0000-0001-8910-2625, Researcher ID: А-7780-2019, SPIN-code: 5203-7086, This email address is being protected from spambots. You need JavaScript enabled to view it.

Sergey A. Petrov
Associate Professor of the Department of Technical Operation of Automobiles, Tver State Agricultural Academy (7 Marshal Vasilevsky St., (Sakharovo), Tver 170904, Russian Federation), ORCID: https://orcid.org/0000-0003-4951-0645, SPIN-code: 8160-8595, This email address is being protected from spambots. You need JavaScript enabled to view it.

 

Abstract
Introduction. Controlling microclimates in the cabin of mobile energy vehicles is an important factor for ensuring operator comfort and productivity. Failure to conform to the microclimate standard values, resulting from uneven heat input from the cab enclosing surfaces and outside can negatively impact the operator health and performance. Therefore, it is necessary to develop an adaptive algorithm of climate control system operation for forecasting the changes in heat input into the cabin and preadjusting cooling capacity.
Aim of the Study. The study is aimed at developing an adaptive algorithm for the climate control system operation in the cabins of mobile energy vehicles.
Materials and Methods. The theoretical analysis of heat balance formation was used to study the creating process of microclimate conditions in the cabins of mobile energy vehicles, including the dependence of temperature changes in the tractor cabin. There was also used an experimental method involved temperature measurements in the cabin of a T-150K tractor. The exponential smoothing method was used as a forecasting method in the cabins of mobile energy vehicles.
Results. As a result of the study, an adaptive algorithm for climate control system has been developed. There has been found an equation for forecasting the air temperature and cooling capacity of a climate control system. An adaptive algorithm for the operation of a climate control system using the exponential smoothing method has been theoretically substantiated and tested in practice.
Discussion and Conclusion. The developed adaptive algorithm makes it possible to predict temperature changes in the range of one minute, while the discrepancy between theoretical and experimental values is 2%. When forecasting changes in the cooling capacity of the climate control system, the discrepancy between theoretical and experimental values was 5%. The theoretical basis of the algorithm includes a heat balance equation using the exponential smoothing method to forecast cabin air temperature. An experimental test carried out in the T-150K tractor showed a low prediction error that allows the use of an adaptive algorithm for the operation of climate control systems.

Keywords: mobile energy facility, microclimatic conditions in MEV cabins, exponential smoothing method, air temperature forecasting, forecasting the cooling capacity of a climate control system

Conflict of interest: The authors declare that there is no conflict of interest.

For citation: Savelyev A.P., Jabborov N.I., Petrov S.A. Adaptive Control of the MiCroclimate in the Cabin of a Mobile Energy Vehicle Based on Forecasting by Exponential Smoothing. Engineering Technologies and Systems. 2026;36(1):140–157. https://doi.org/10.15507/2658-4123.036.202601.140-157

Authors contribution:
A. P. Savelyev – formulating ideas, objectives and aims of the study; oversight and leadership responsibility for the research activity planning and execution, including mentorship external to the core team.
N. I. Jabborov – oversight and leadership responsibility for the research activity planning and execution, including mentorship external to the core team.
S. A. Petrov – conducting the study, specifically performing the experiments and collecting data; preparing the manuscript, specifically visualizing the study results and data obtained.

All authors have read and approved the final manuscript.

Submitted 04.09.2025;
revised 22.10.2025;
accepted 28.10.2025

 

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