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DOI: 10.15507/2658-4123.030.202001.060-075
Selecting a Strategy for Determining the Combine Harvester Parameter Settings
Lyudmila V. Borisova
Head of the Chair of Management and Business Processes of Faculty of Business and Management, Don State Technical University (1 Gagarin Sq., Rostov-on-Don 344000, Russia), D.Sc. (Engineering), Professor, Researcher ID: E-4863-2018, ORCID: https://orcid.org/0000-0001-6611-4594, This email address is being protected from spambots. You need JavaScript enabled to view it.
Inna N. Nurutdinova
Associate Professor of Applied Mathematics Chair, Don State Technical University (1 Gagarin Sq., Rostov-on-Don 344000, Russia), Ph.D. (Physics and Mathematics), Researcher ID: E-3961-2018, ORCID: https://orcid.org/0000-0002-3375-1295, This email address is being protected from spambots. You need JavaScript enabled to view it.
Valeriy P. Dimitrov
Head of the Chair of Quality Management, Don State Technical University (1 Gagarin Sq., Rostov-on-Don 344000, Russia) D.Sc. (Engineering), Professor, ResearcherID: E-4908-2018, ORCID: https://orcid.org/0000-0003-1439-1674, Scopus ID:57195505958, This email address is being protected from spambots. You need JavaScript enabled to view it.
Andrey K. Tugengold
Professor of Robotics Chair, Don State Technical University (1 Gagarin Sq., Rostov-on-Don 344000, Russia), D.Sc. (Engineering), Researcher ID: E-5707-2018, ORCID: https://orcid.org/0000-0003-0551-1486, This email address is being protected from spambots. You need JavaScript enabled to view it.
Introduction.The article deals with adjusting the parameter settings of a combine harvester working bodies. For adjustment of complex hierarchical multilevel systems, the intellectual methods based on fuzzy expert information are used. The incoming quantitative, qualitative and evaluation information is analyzed when adjusting the combine harvester. The different types of uncertainty in considering semantic spaces of external environment factors and regulated parameters of the machine cause the application of logical and linguistic approach and mathematical apparatus of fuzzy logic for determining the optimal initial settings. The complex system of interrelations between parameters, indicators of quality of harvest, and factors of external environment causes the necessity to adjust the parameters of combine working elements in the process of harvesting. This function is performed by the correction unit in the intelligent decision support system. In the present article, the questions of creating a knowledge base for correcting adjustment parameters in cases when there are deviations of values of harvesting quality indicators from normative values are considered in detail.
Materials and Methods. Interrelations between performance indicators and regulated parameters are established by empirical rules obtained through the collection and analysis of expert information. To optimize the mechanism of intellectual information system output and reduce the time of decision making, there is a necessity to establish the relevance of used knowledge base rules. To solve this problem, theoretical and game approaches are used, concepts of the matrix of performance indicators and the matrix of risks of making an inefficient decision are used.
Results. An example of choosing a strategy of searching for an adequate response to the fault of the harvesting indices in the form of “losses of feeble grain with chaff” has been given. The choice of fault response strategies on the basis of Laplace criterion, expectedvalue criterion, and Savage test used for decision-making in “games with nature” has been considered. The method of the decision-making process in the problem under consideration with the application of the mentioned criteria were illustrated, the analysis of the obtained results was carried out.
Discussion and Conclusion. The suggested approach substantially increases performance of the unit of intelligent system updating. It allows structuring the expert knowledge base and establishing an optimal sequence of application of production rules; this provides efficiency of the updating process of the adjustable harvester parameters and also reduces the time for decision-making. This approach can be used while solving the problems of updating technological adjustments in different technical systems and devices.
Keywords: intelligent information system, decision-making, combine harvester, technological adjustment, linguistic variable, membership function
For citation: Borisova L.V., Nurutdinova I.N., Dimitrov V.P., et al. Selecting a Strategy for Determining the Combine Harvester Parameter Settings. Inzhenernyye tekhnologii i sistemy = Engineering Technologies and Systems. 2020; 30(1):60-75. DOI: https://doi.org/10.15507/2658-4123.030.202001.060-075
Contribution of the authors: L. V. Borisova – research of interrelations “adjustable parameters – harvesting quality indices”; I. N. Nurutdinova – development of a mechanism for applying the “games with nature” criteria to the problem of updating adjustable parameters of a grain harvester, obtaining the results of example; V. P. Dimitrov – analysis of subject domain, modeling of fuzzy expert knowledge; A. K. Tugengold − development of the knowledge base.
All authors have read and approved the final manuscript.
Received 20.08.2019; revised 13.11.2019; published online 31.03.2020
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