Technology, energy, agriculture transport AIC

Mykola STADNIK – Doctor of Technical Sciences, Professor, Department of Electric Power Engineering, Electrical Engineering and Electromechanics, Vinnytsia National Agrarian University (3, Soniachna str., Vinnytsia, 21008, Ukraine, e-mail: stadnik1948@gmail.com, https://orcid.org/0000-0003-3895-9607). 

Andrii SHTUTS – Candidate of Technical Sciences, Associate Professor, Department of Electric Power Engineering, Electrical Engineering and Electromechanics, Vinnytsia National Agrarian University (3, Soniachna str., Vinnytsia, 21008, Ukraine, e-mail: shtuts1989@gmail.com, https://orcid.org/0000-0002-4242-2100). 

Oleh HAYDAMAK – Candidate of Technical Sciences, Associate Professor, Department of Electric Power Engineering, Electrical Engineering and Electromechanics, Vinnytsia National Agrarian University (3, Soniachna str., Vinnytsia, 21008, Ukraine, e-mail: vntu111@gmail.com, https://orcid.org/0000-0001-5116-6017). 

Oksana VOLOSHYNA – Candidate of Pedagogical Sciences, Associate Professor, Vinnytsia National Agrarian University (3, Soniachna str., Vinnytsia, 21008, Ukraine, e-mail: oks.lee5@gmail.com, https://orcid.org/0000-0002-7679-9555).

Mechatronic systems and frequency-controlled electric drives of electrical machines in the electrotechnologies of bioenergy plants, with optimization and reliability diagnostics, represent a key area in the development of modern agricultural machinery engineering. The use of such systems ensures a high level of functional integration of mechanical, electrical, electronic, and informational components, allowing the creation of equipment with high productivity, energy efficiency, and reliability. The mechatronic approach promotes the synchronization of electric drives, sensors, and controllers, providing adaptive control under variable loads and unpredictable environments characteristic of agricultural and bioenergy processes.
The implementation of frequency-controlled electric drives enables flexible control of motor speed and torque, optimizes energy consumption, increases the accuracy of technological operations, and reduces wear on mechanical components. The use of adaptive control algorithms and regenerative systems contributes to energy savings and improves the operational efficiency of equipment across various modes of operation.
The reliability of such systems is ensured through comprehensive diagnostics and failure prediction, including the integration of sensor networks, IoT technologies, big data analysis, and predictive maintenance algorithms. It reduces the risk of failures, extends machine longevity, and optimizes maintenance planning.
Special attention is given to the systematization of agricultural machines as mechatronic objects, defining the levels of integration of modules, units, and assemblies, and describing the interaction of components with the environment. The concepts of mechatronic modules, units, assemblies, and systems are considered, along with the principles of synergistic integration that enable the combination of mechanical, electrical, electronic, and informational components into a single, adaptive system.
The research results demonstrate the effectiveness of applying mechatronic systems with frequency-controlled electric drives in bioenergy plants in the agro-industrial sector, thereby increasing productivity, energy efficiency, reliability, and the safety of technological processes. The proposed approaches align with modern Industry 4.0 standards, opening new opportunities to create modular, scalable, and highly functional solutions for contemporary agricultural production.

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