Open AccessFunctions of fuzzy logic based controllers used in smart building
Author(s) -
Ali M. Baniyounes,
Yazeed Yasin Ghadi,
Eyad Radwan,
Khalid Al-Olimat
Publication year - 2022
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v12i3.pp3061-3071
Subject(s) - hvac , air conditioning , thermal comfort , fuzzy logic , controller (irrigation) , computer science , indoor air quality , ventilation (architecture) , pid controller , control theory (sociology) , control engineering , fuzzy control system , temperature control , automotive engineering , environmental science , control (management) , engineering , artificial intelligence , meteorology , mechanical engineering , agronomy , physics , environmental engineering , biology
The main aim of this study is to support design and development processes of advanced fuzzy-logic-based controller for smart buildings e.g., heating, ventilation and air conditioning, heating, ventilation and air conditioning (HVAC) and indoor lighting control systems. Moreover, the proposed methodology can be used to assess systems energy and environmental performances, also compare energy usages of fuzzy control systems with the performances of conventional on/off and proportional integral derivative controller (PID). The main objective and purpose of using fuzzy-logic-based model and control is to precisely control indoor thermal comfort e.g., temperature, humidity, air quality, air velocity, thermal comfort, and energy balance. Moreover, this article present and highlight mathematical models of indoor temperature and humidity transfer matrix, uncertainties of users’ comfort preference set-points and a fuzzy algorithm.