Adaptive control of technological machine modes taking into account characteristics of raw materials and environment
Year: 2026
Type: conference-paper
Abstract: The object of the research is technological processes, soil characteristics, and a sensory experimental system for measuring soil moisture on the basis of a microcontroller. Methods for increasing the energy efficiency and technological productivity of industrial machines by adaptively regulating their operating modes based on the indicators of raw material properties and environmental characteristics are proposed. A sensor system based on the Arduino Uno R3 microcontroller has been developed and tested. It includes four-channel capacitive humidity sensors and a BME280 sensor. This system enables multi-channel measurement of soil environment parameters and atmospheric conditions and can be integrated into adaptive control systems for technological machines. The patterns of soil electrical conductivity changes depending on the increase in depth (5, 10, 15 and 20 cm) for moistened layers have been established. Nonlinear exponential two-factor 3D model of soil electrical resistance is obtained on the basis of experimental data. This model depends on the depth of cultivation and soil moisture and describes the experimental data with high accuracy (model error of 1.38%). Significant variability of environmental parameters (air temperature, atmospheric pressure and relative humidity) has been noted depending on the depth and measurement conditions, which confirms the need for their prompt consideration when controlling machine work processes. The informativeness of moisture indicators along the depth profile for predicting the physical and mechanical state of the soil has been established. The revealed patterns are recommended to be used as input factors under the conditions of adaptive regulation of speed, power and energy modes of machines. The use of this algorithm makes it possible to increase energy efficiency, reduce the load on working parts, and increase the stability of technological operations.
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W7165106964