Modeling and parameter identification for agricultural machines

Abstract A series of technical and social aspects have led the pressure to increase energy efficiency reduce level environmental impact in agricultural production. Crop producers equipment manufacturers identified computerized assistance operation management as an indispensable tool optimize processes. central place is occupied this regard by so called digital twins, computer models a specific instance object or system, which are also capable exchanging data with physical counterpart updating their state accordingly. The core twin given mock‐up, offline twin, that model system's physics. goal work present development for novel gantry‐tractor type autonomous machine. peculiarity system resides its until now scarcely adopted mechanical design, ability perform range processes attaching different modules frame. After brief introduction into characteristics gantry‐type tractor role context precision agriculture controlled traffic farming, components machine dynamic phenomena separately investigated mathematically modeled. Particular focus placed thereby on study vehicle's longitudinal dynamics. Based software implementation mathematical models, unknown parameters estimated means nonlinear optimization techniques, using sensor collected during field measurement reference. accuracy estimation methods then evaluated against experimental samples sensors.