Generalized scheme of fuzzy control of grain harvester in field conditions

The article discusses the issues of modeling the process of managing the combine in the field. A generalized scheme for solving important practical problems of technological adjustment of the working bodies of the units of a combine harvester based on fuzzy expert data on the input factors (external environment) and output parameters (adjustable parameters of the machine) is proposed. The architecture of the knowledge base of the information intelligent system is given, as well as the relationships between the individual structural elements. The main semantic spaces of the considered subject area are highlighted. This is a group of environmental factors, a group of adjustable parameters, a group of quality indicators of the cleaning process, a group of possible violations of the quality of the cleaning process. The characteristic features of the output of solutions during technological adjustment and, accordingly, adjustments of technological adjustments are considered. Models of subject areas are presented.