Formation of a knowledge base for selecting parameter values for the working parts of the TORUM rotary combine

Abstract

The work examines the problem of adjusting the adjustable parameters of the axial-rotor threshing-separating device (ARTSD) of the TORUM grain harvester. A general block diagram of the solution has been constructed. To formalize the problem, a linguistic approach was used, which makes it possible to describe complex multi-level systems with ambiguous dependencies between input factors and controlled parameters. The feasibility of using an intelligent information system based on fuzzy logic to solve the problem of setting the adjustable parameters of a combine harvester is substantiated. The article presents the implementation of the first stage of solving the problem of designing an intelligent information system for setting the adjustable parameters of a combine harvester, constructing a formal logical scheme for solving the problem, and creating a fuzzy knowledge base that forms the basis of this information system. Options for pre-setting for harvesting various crops are considered. Models of the considered features in the form of membership functions are proposed. Basic and extended term sets are established. The consistency of the models was analyzed and the optimal models were selected. The results of the solutions obtained are illustrated. Based on expert information about the system of complex relationships between environmental factors and the adjustable parameters of the combine, a fuzzy knowledge base was created that establishes rules for the deductive conclusion of decisions about the values of parameters in various combinations of external conditions.