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Treffer: Technology for Adjusting Working Tools of a Rotary Harvester Based on Fuzzy Modelling

Title:
Technology for Adjusting Working Tools of a Rotary Harvester Based on Fuzzy Modelling
Publisher Information:
Zenodo
Publication Year:
2025
Collection:
Zenodo
Document Type:
Fachzeitschrift article in journal/newspaper
Language:
unknown
ISSN:
2658-4123
Relation:
https://zenodo.org/records/15147603; oai:zenodo.org:15147603
DOI:
10.15507/2658-4123.035.202501.013-029
Rights:
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number:
edsbas.396BC027
Database:
BASE

Weitere Informationen

Introduction. The need to increase productivity of grain harvesting equipment and minimize crop losses has given rise to the increasing use of axial-flow combines (rotary harvester). The efficiency of harvesting operations depends on correct setting of the adjustable harvester parameters allowing full use of its design capabilities. For this reason, it is relevant to study the problems of optimal adjusting the working tools of a harvester operating in various environmental conditions.Aim of the Study. The study was aimed at developing an approach to the choice of optimal values for the adjustable parameters of the rotor type grain harvesters.Materials and Methods. Harvesting quality indices, adjustable parameters, and environmental factors are interdependent, so there has been used a linguistic approach to the description of the subject domain. Information about environmental conditions, the harvester technical state, interrelations between parameters and harvesting indicators is fuzzy that has led to the application of the theory of fuzzy sets to solve the problem of optimal choice of the adjustable parameters. The procedure of fuzzy logic inference has been performed in Fuzzy Logic Toolbox (MatLab) package.Results. There are presented the results of the developed approach to the problem of operational presetting adjustable parameters of a rotary harvester when harvesting various grain crops under different environmental conditions. The problem solution concept has been developed on the basis of the fuzzy logic formalism. A linguistic description of the problem has been given. Models of the considered features in the form of membership functions are proposed, which adequately take into account the external conditions in which the harvester operates. Basic and extended term sets have been identified. The optimal models have been selected on the basis of the consistency analysis of fuzzy expert knowledge using the indicators of general and pair consistency of the models. The results of the solutions obtained have ...