Increasing productivity in agriculture is based on the creation of unmanned and robotic ground vehicles. The chapter deals with the problem of managing a fleet of agricultural unmanned vehicles, in particular, autonomous trucks and unmanned combine harvesters. Virtual commissioning technology is now widely used to reduce the design time of complex machines. For this purpose, virtual tests on mathematical and simulation models are carried out. A set of system models of unmanned vehicles is proposed, including two optimization models and a simulation model of an agrotechnical production-and logistics system. The problem of finding the optimal calendar network schedule for agrotechnical work and the problem of assigning unmanned vehicles to production operations are formulated and solved. The simulation model is designed as a stochastic timed colored Petri net. The structure of the hierarchical simulation model is given and the maintenance model based on the Petri net is described. A formal description of unmanned vehicles in the form of multisets with components corresponding to time characteristics and cost parameters is proposed. Experimental studies of the maintenance system for unmanned vehicles under various scenarios have been conducted. The choice of the stochastic colored Petri net apparatus as the basis of simulation models is due to the convenience and possibilities of setting probabilistic laws for production processes and the processes of unmanned vehicle units’ degradation and deterioration. Conducting virtual tests on the developed models makes it possible to formulate requirements and recommendations for organizing the operation and maintenance of unmanned vehicles.
Simulation of Agricultural Unmanned Vehicle System During a Virtual Commissioning
Studies in Systems, Decision and Control
2024-09-24
13 pages
Article/Chapter (Book)
Electronic Resource
English