ANALYSIS AND IMPROVEMENT OF THE METHODOLOGY AND AUTOMATED MEANS OF THE ASPHALT CONCRETE MIXTURE DOSING PROCESS
Authors:
1.
Voronezh State University of Forestry and Technologies named after G.F. Morozov
2.
Voronezh State University of Forestry and Technologies named after G.F. Morozov
(Docent)
3.
Voronezh State University of Forestry and Technologies named after G.F. Morozov
(Department of Industrial Process Automation, Docent)
from 01.01.2001 to 01.01.2024 Voronezh, Russian Federation
from 01.01.2001 to 01.01.2024 Voronezh, Russian Federation
Type:
Сonference article
Pages:
from 160
to 166
Published:
23.07.2026
Subject area:
UDC 681.5
Language:
Russian
Keywords:
automation, asphalt concrete mixture, component dosing, programmable logic controllers, mathematical modeling, control accuracy, and technological process
Abstract:
The article explores modern approaches to the automation of the asphalt concrete mixture (ACM) production process. It describes the main automated control loops in the areas of raw material preparation and dosing of components (inert materials, cement, water, and chemical additives) using programmable logic controllers (PLCs). The article presents a mathematical model of the dosing process that takes into account dynamic errors and the effect of delayed material supply ("overshoot"). Based on experimental data, the article demonstrates the effectiveness of the proposed algorithm with proactive control. It has been substantiated that the introduction of adaptive automation systems contributes to improving the quality of the mixture, optimizing energy consumption, and reducing production costs.
The article explores modern approaches to the automation of the asphalt concrete mixture (ACM) production process. It describes the main automated control loops in the areas of raw material preparation and dosing of components (inert materials, cement, water, and chemical additives) using programmable logic controllers (PLCs). The article presents a mathematical model of the dosing process that takes into account dynamic errors and the effect of delayed material supply ("overshoot"). Based on experimental data, the article demonstrates the effectiveness of the proposed algorithm with proactive control. It has been substantiated that the introduction of adaptive automation systems contributes to improving the quality of the mixture, optimizing energy consumption, and reducing production costs.
Keywords:
automation, asphalt concrete mixture, component dosing, programmable logic controllers, mathematical modeling, control accuracy, and technological process
automation, asphalt concrete mixture, component dosing, programmable logic controllers, mathematical modeling, control accuracy, and technological process
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