INFORMATION-CONTROLLED MECHATRONIC SYSTEMS OF POWER SUPPLY AND AUTOMATION OF TECHNOLOGICAL PROCESSES IN THE AGRO-INDUSTRIAL COMPLEX

The paper examines modern approaches to the development, research, and implementation of mechatronic systems for adaptive control of technological processes in the agro-industrial complex. Particular attention is paid to the integration of electrical, information, sensor, and control subsystems into a unified intelligent structure capable of self-adjustment, environmental analysis, and energy optimization. It is shown that under conditions of rapid digitalization, climate change, and the need for rational use of resources, such systems ensure flexibility, stability, and efficiency of production processes. The study determines that effective mechatronic systems should be based on a modular structure including sensor, executive, analytical, and communication levels. The sensor level collects process data, the executive level performs control actions, the analytical level applies adaptive and optimization algorithms, and the communication level ensures integration through industrial digital networks. It is established that adaptive mechatronic systems increase energy efficiency, reduce raw material losses, improve product quality, and maintain stable operating parameters under unstable external conditions. Special attention is given to mathematical modeling, simulation, and the use of frequency-controlled electric drives with digital control systems, which improve positioning accuracy, speed regulation, and overall energy performance. The paper identifies key directions for further development, including autonomous robotic systems, wireless sensor networks, digital twins, intelligent energy management, and adaptive control under changing climatic conditions. The obtained results are of scientific and practical significance for precision agriculture, livestock production, smart greenhouses, and automated processing systems.