MATEC Web Conf.
Volume 226, 2018XIV International Scientific-Technical Conference “Dynamic of Technical Systems” (DTS-2018)
|Number of page(s)||6|
|Section||4 Fundamental methods of system analysis, modeling and optimization of dynamic systems|
|Published online||07 November 2018|
The problem of choice of optimal technological decisions on harvester control
1 Don State Technical University, Quality Management Department, 344000 Rostov-on-Don, Russia
2 Don State Technical University, Management and Business Technology Department, 344000 Rostov-on-Don, Russia
3 Don State Technical University, Applied Mathematics Department, 344000 Rostov-on-Don, Russia
4 State Scientific Establishment “Agriculture research center “Donskoy”, North Caucasus Institute of Mechanization and Electrification of Agriculture, 347740 Zernograd, Russia
5 Novocherkassk Engineering Institute Reclamation Name A. K. Kortunova, Don State Agrarian University, 346428 Novocherkassk, Russia
* Corresponding author: firstname.lastname@example.org
The paper considers the problem of determining optimal technological decisions on a harvester control which includes the choice of the harvester adjustable parameters at presetting and also their updating in the process of operation. To solve this problem, an information system of decision making support based on fuzzy expert knowledge is used. The expedience of this approach is stipulated by the data fuzziness about the factors of the environment in which the harvester is operating and also by complex and system of uncertain interrelations among external factors, adjustable parameters and harvesting quality indices. For the case of harvesting grain crops an expert knowledge base has been made which makes it possible to formalize empirical knowledge about the dependencies of the harvester adjustable parameters on the environment factors such as crop yield, stand of grain humidity, stand of grain dockage rough straw. The most essential adjustable parameters have been considered: speed of the harvester motion, rotational speed of a threshing drum and rotor speed of a separator fan. Fuzzy logic inference has been performed with the help of Fuzzy Logic Toolbox application package (Matlab). The examples of technological decisions of the harvester preliminary adjustment at different environmental conditions have been presented, accurate values of the adjustable parameters were calculated by the «barycentre» method.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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