The problem of choice of optimal technological decisions on harvester control

Abstract

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.