A problem of selecting the controlled parameter values of the com-bine harvester work tools is considered. Models describing the har-vesting quality factor dependencies of the external agents are ana-lyzed. The need of a new approach to modeling the technological ad-justment process of the harvester in the field which takes into ac-count the fuzzy information on the environmental factors, its approx-imate character, as well as an expert method of generating infor-mation, is justified. To describe the environmental factors and the performance indices, linguistic variables are introduced, their mem-bership functions are developed, and production rules are formulat-ed. The fuzzy inference process is illustrated by an example of se-lecting the beater rate speed. A knowledgebase and an inference en-gine that form the expert system basis are created. The use of such a system in the field allows reducing the process downtime and crop waste. A practical implementation of the developed model is the cre-ation of the software for the automated problem solution of the tech-nological adjustment of the harvester in the field
combine harvester, technological adjustment, fuzzy knowledge, linguistic variable, expert system
Introduction. The implementation of the potentialities included in the design of the combine harvester, achievement of
high quality performance of harvesting and productivity are only possible with a correct technological adjustment of working
units and observance of operating rules. Complex and changing environmental conditions grain harvesters operate under re-quire the operator to find optimal solutions promptly. Non-optimal decisions, made in the field, downtime due to technical and
technological reasons result in substantial loss of resources and potentialities [1].
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