Abstract
The problems of creating intelligent systems for information support in making decisions on preliminary technological adjustment of complex harvesting machines functioning in the field are considered. The solution of the problem for a combine harvester being a universal machine for harvesting grain, leguminous and other cultivated crops is presented. A combine harvester is considered as a complex mechatronic system that functions in a changing environment. Different types of uncertainty in the consideration of the semantic spaces of environmental factors and adjustable machine parameters cause the application of the logical-linguistic approach and the mathematical apparatus of fuzzy logic to find the optimal initial values of the adjustable parameters. The models of studied semantic spaces have been built. An expert knowledge base has been created, quantitative assessments of the consistency of expert information have been obtained. On the basis of the system of production rules, further fuzzy inference of solutions in the task of preliminary technological adjustment has been carried out. The proposed formal logical scheme of the decision-making process is applied to the selection of the values of the most important adjustable parameters of the combine, such as the speed, the rotational speed of the threshing drum, rotor speed of a separator fan.
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Dimitrov, V., Borisova, L., Nurutdinova, I. (2019). Intelligent Support of Grain Harvester Technological Adjustment in the Field. In: Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18). IITI'18 2018. Advances in Intelligent Systems and Computing, vol 875. Springer, Cham. https://doi.org/10.1007/978-3-030-01821-4_25
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