Selyakova S. Models and algorithms of a gathering campaign intellectual control system

Thesis main objective: synthesis of models and algorithms of an intellectual control system of harvesting which could allow raising efficiency of gathering-transport works in the conditions of the modern agricultural enterprise. Object of research: technological process of harvesting of grain crops. Research methods: methods of the system analysis, the theory of knowledge representation, theories of evolutionary modeling, the theory of mass service, the mathematical statistics, the fuzzy logic, the theory of artificial neural networks, imitation modeling. Scientific novelty of the received results: for the first time the logic model of harvesting technological process knowledge representation; there were improved the structure of the complex objects hybrid intellectual control system and the method of classical genetic algorithm due to its adaptation to use of a three-dimensional chromosome that has allowed considering restrictions in terms of work and operating period of harvesters; the approaches of imitation modeling of gathering-transporting systems and the technique of realization of the forecast of fuel consumption for harvesters were further developed. Results of dissertational research have been introduced at the agricultural enterprise "Russia".