Vibrations in engineering and technology

Vozniak Oleksandr - Ph.D., Associate Professor of the Department of Electrical Power Engineering, Electrical Engineering and Electromechanics of the Vinnytsia National Agrarian University (Sonyachna St., 3, Vinnytsia, 21008, Ukraine).

Yaroshenko Leonid candidate of technical sciences, associate professor of the department of electric power engineering, electrical engineering and electromechanics of Vinnitsa national agrarian university, Service address: Vinnitsa, st. Sonyachna 3, VNAU 21008, e-mail: volvinlv@gmail.com

Luts Pavlo – Candidate of Technical Sciences, Senior Lecturer of Department of machines and equipment of agricultural production of Vinnytsia National Agrarian University (St. Soniachna, 3, Vinnytsia, Ukraine, 21008, e-mail: luts@vsau.vin.ua, https://orcid.org/0000-0002-3776-8940). 

Tikhonenko Serhiy - first-year graduate student of the Vinnytsia National Agrarian University (Sonyachna St., 3, Vinnytsia, 21008, Ukraine).

Control of electric drives in electromechanical systems of the agro-industrial complex (APC) is a critical factor in increasing the efficiency and reliability of technological processes that directly affect the productivity of agricultural production. In connection with the introduction of the latest technologies, the growth of product quality requirements and the need to automate processes, modern agricultural technologies require the improvement of electric drive control methods. The relevance of this topic is due to the need to optimize management processes in the agricultural sector to increase productivity, reduce energy consumption, and increase system reliability.

The review examines classical and modern approaches to the control of electric drives. Traditional proportional, integral and differential methods ensure the stability of systems and minimize errors, adapting to the conditions of agricultural production. An important role is played by feedback systems that automatically adjust the operating parameters of electric drives in response to changes in external factors. Fuzzy management systems are also an important part, allowing decisions to be made based on expert judgments in cases where accurate data is difficult to obtain. Adaptive management systems capable of changing their parameters in conditions of variability are considered separately, which is especially important in the agricultural sector with its changing conditions.

The article also highlights modern intelligent control systems using artificial intelligence, machine learning and remote monitoring, which allow analyzing large volumes of data, predicting resource needs and increasing energy efficiency. Internet-based systems such as SCADA provide operators with the ability to remotely monitor and control equipment in real time, an essential element of modern agricultural production.

In conclusion, the control of electric drives in agriculture is aimed at automating and increasing the efficiency of production processes, optimizing the use of energy resources and ensuring the safety of the systems, which makes them an integral part of modern agricultural technologies.

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