Method for Determining the Initial Values of the Adjustable Parameters of the Combine Harvester Cutting Unit

Author:

Dimitrov Valeriy P.1ORCID,Borisova Lyudmila V.1ORCID,Nurutdinova Inna N.1ORCID

Affiliation:

1. Don State Technical University

Abstract

Introduction. The article presents the solution of the problem of identifying the subject area “Preliminary adjustment of the working elements of the combine harvester cutting unitˮ. The correct choice of parameter values of the cutting unit as the most important element of a combine harvester is one of the main conditions for providing high quality harvesting. It is the fact that defined the object of the present study. The aim of the study is to develop a method for adjusting the values of parameters of a combine harvester cutting unit for the harvested crop and harvesting conditions. Materials and Methods. Decisions on the values of technological parameters of the harvester, which is a complex hierarchical system, are made on the basis of information about the external environment and the machine technical state. The incoming data are quantitative, qualitative and evaluative in nature. Taking into account the heterogeneity and vagueness of the information, the decisions are made through using intelligent information systems, which are based on the fuzzy logic programming and use a linguistic approach to describe the subject area. This approach is used because of the complexity and ambiguity of the relationships between regulated parameters and external factors. Results. The subject area “Preliminary adjustment of the combine harvester cutting unit parametersˮ has been investigated. The formal-logical scheme for selecting the values of adjustable parameters of the combine harvester cutting unit is described in detail. The main factors influencing the values of the combine harvester cutting unit adjustable parameters are defined, their linguistic description is given, the corresponding input and output linguistic variables are introduced, and the membership functions are built on the basis of expert information. The agreement analysis of the presented information has been carried out and optimal models have been selected. A fuzzy knowledge base is created, on which the deductive inference of decisions is based. Discussion and Conclusion. The proposed approach and created fuzzy knowledge base can be used as the basis for an intelligent decision-making system for adjusting combine parameters. Using this system in the field in combination with sensors for continuous monitoring of harvesting conditions and an automated image analysis system will allow responding quickly to changing conditions, will significantly improve operational efficiency and reduce decision-making time.

Publisher

National Research Mordovia State University MRSU

Subject

General Medicine

Reference19 articles.

1. Erokhin G.N., Reshetov A.S. Efficiency Losses Harvesting Cereal Crops in Agricultural. Science in the Central Russia. 2013;(1):40–44. Available at: https://www.elibrary.ru/item.asp?id=19129807 (accessed 19.08.2022). (In Russ., abstract in Eng.)

2. Nyelyubov A.I., Gyenkin M.D., Bandurovskiy V.I. [A Way to Regulate the Parameters of a Combine Harvester During Harvesting]. Authorʼs Certificate 1,410,892 USSR. 1988 July 23. 2 p. Available at: https://www.elibrary.ru/item.asp?id=40483958 (accessed 19.08.2022). (In Russ.)

3. Vetrov Ye.V., Chernyavskaya V.P., Bobrineva G.F., et al. [Optimal Adjustment of the Combine Harvester (Electronic “Harvester Adviserˮ)]. Trudy. 1989;(4):80–85. (In Russ.)

4. Berdyshev V.Ye. [Optimization of Design and Technological Parameters of the “Classic” Threshing and Separating System of Grain Harvester]. Proceedings of Lower Volga Agro-University Complex: Science and Higher Education. 2012;(3):175–178. Available at: https://elibrary.ru/item.asp?id=17954643 (accessed 19.08.2022). (In Russ.)

5. Tsarev J.A., Traskovski S.S. Technique of Definition of Control Bands of Parametres of Customisation of Combine Harvesters. Vestnik of Don State Technical University. 2009;9(4):206–211. Available at: https://www.vestnik-donstu.ru/jour/article/view/1194/1186 (accessed 19.08.2022). (In Russ., abstract in Eng.)

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