MODELING AND SEMI-NATURAL TESTING OF INFORMATION-CONTROL SYSTEMS FOR UNMANNED AGRICULTURAL MACHINERY BASED ON THE BELARUS-3525 TRACTOR

Galilulin Iskander Gayazovich, Chikrin Dmitry Yevgenyevich, Pashin Dmitry Mikhailovich, Fahrutdinov Adel Ferdinandovich

In modern agriculture, automation plays a crucial role in enhancing the efficiency and accuracy of agricultural operations. One significant achievement in this field is the development of heavy-duty unmanned tractors equipped with information-control systems. This article focuses on the modeling and semi-natural testing of such systems using unmanned agricultural machinery based on the "Belarus-3525" tractor as a case study. The introduction of unmanned tractors provides new opportunities for automating soil cultivation, sowing, and harvesting operations. They are equipped with advanced information-control systems that enable interaction with the environment and task execution with minimal human involvement. However, before implementation in real-world conditions, thorough modeling and testing of control systems on virtual and semi-natural test sites are necessary. The article discusses the process of modeling information-control systems for unmanned agricultural machinery based on the "Belarus-3525" tractor and their semi-natural testing. Special attention is paid to creating a virtual environment capable of simulating various tractor operation scenarios, testing control systems and algorithms, and conducting tests in different conditions, including extreme and inaccessible for physical testing. The obtained results will allow for a more comprehensive assessment of the performance of unmanned tractors and their information-control systems, as well as optimization of their functioning in real operating conditions.

Keywords:autonomous tractor, modeling, virtual simulation, Gazebo, control mode testing