Open AccessCombined system development of heat ventilation air condition temperature control by fuzzy logic controller
Author(s) -
Vladislav Surin,
Yan Troyanovsky,
Dmitry Maskaev,
Ilya Tarasenko,
M. Boldin
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/869/2/022026
Subject(s) - fuzzy logic , inertia , control theory (sociology) , transient (computer programming) , controller (irrigation) , matlab , control engineering , process (computing) , temperature control , ventilation (architecture) , computer science , fuzzy control system , control system , air conditioning , engineering , control (management) , mechanical engineering , artificial intelligence , agronomy , biology , physics , electrical engineering , classical mechanics , operating system
This paper presents the development of combined model, which describes the temperature control process of an automated heat ventilation air condition system based on fuzzy logic algorithms and methods. This model solves the problem of hydraulic systems excessive inertia, what directly affects the quality of regulation. The operation principle of the system and its advantages, which consist in obtaining high-quality transients for the parameters of static error and transient process time, are presented. Proposed control principle allows to increase the system performance improving the quality of temperature parameters regulation. Model was developed in Matlab Simulink using FuzzyLogicToolbox.