Совершенствование системы регулирования микроклимата на основе нечеткой логики

Ключевые слова: автоматическое регулирование, алгоритмы нечеткого регулирования, база правил, влаж-ность, время регулирования, зернохранилище, нечеткая логика, нечеткие контроллеры, параметры микрокли-мата, перерегулирование, переходная характеристика, ПИД-регулятор, температура, энергопотребление.


Для цитирования: Юран С. И., Вершинин М. Н. Совершенствование системы регулирования микро-климата на основе нечеткой логики // Вестник НГИЭИ. 2019. № 9 (100). С. 33‒45.


IMPROVEMENT OF THE MICROCLIMATE CONTROL SYSTEM BASED ON FUZZY LOGIC © 2019


Sergey Iosifovich Yuran, Dr. Sci. (Engineering), professor, Professor of the chair «Automatic electric drive» Izhevsk State Agricultural Academy, Izhevsk (Russia) Mikhail Nikolaevich Vershinin, master of the chair «Automatic electric drive» Izhevsk State Agricultural Academy, Izhevsk (Russia)

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Вестник НГИЭИ. 2019. № 9 (100)

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Abstract

Introduction: the article deals with the issues of improving the system of microclimate regulation in grain storage by using intelligent systems of technological process regulation, which apply algorithms of fuzzy regulation.


Materials and methods: the paper describes the use of fuzzy regulation in various systems of regulation of parame-ters of technological processes, in particular, in systems where the object of regulation are the premises in which it is necessary to regulate the microclimate parameters. In order to prove the advantages of using fuzzy logic, a thermody-namic model of the granary has been developed in the MATLAB Simulink software system, which allows simulating the change of air temperature when using active ventilation in the process of grain drying, depending on the change of outdoor air temperature.