Open AccessAutomatic control of air temperature in the greenhouse considering the weather forecast data
Author(s) -
А. Г. Сеньков
Publication year - 2021
Publication title -
informatika
Language(s) - English
Resource type - Journals
eISSN - 2617-6963
pISSN - 1816-0301
DOI - 10.37661/1816-q3q1-2q21-18-3-59-67
Subject(s) - compensation (psychology) , greenhouse , block diagram , controller (irrigation) , aperiodic graph , control theory (sociology) , temperature control , block (permutation group theory) , computer science , signal (programming language) , process (computing) , interval (graph theory) , control (management) , control engineering , engineering , mathematics , psychology , agronomy , geometry , combinatorics , artificial intelligence , horticulture , psychoanalysis , electrical engineering , biology , programming language , operating system
The paper concerns the problem of improving energy efficiency and the quality of air temperature automatic control in industrial greenhouses. The article proposes a method based on the principle of disturbance compensation using weather forecast data. The plant dynamic model structure is described by the linear 1st order aperiodic link with delay both for the control circuit and for the disturbance circuit. To solve the problem of time delays in the plant mathematical model it is suggested along with the use of outside temperature sensor signal to take into account the weather forecast data for the outdoor temperature changes over the specific forthcoming interval of time. It allows the controller to generate appropriate compensation control signal in advance. The block diagram of the automatic control system of the greenhouse temperature is given. Theoretical mathematical expressions for the regulation algorithm and analysis of regulation quality are obtained and the results of numerical modeling of the temperature control process are presented. The proposed automatic control method can be used to regulate the air temperature in buildings with high requirements for microclimate parameters.