Designing Climate Control with Fuzzy Logic for Smart Home Systems

Abstract

Smart home technologies have emerged with the prominence of human safety and comfort today. With the advancement of technology, it is one of the most important automation issues being worked on. Smart home technologies provide home and environmental security first. These were also the house of cooling, heating, automatic control of the garage door, automatic control of lighting, home, and garden, office control of the safety of children, can perform many operations such as the automatic feeding of plants and animals. Smart home provides control of all your electrically powered devices through existing electricity. Physical quantities such as temperature, humidity, and light level in a smart home need to be controlled intelligently. Thus, users are provided with a convenient opportunity to fully control all electrical appliances in the house, and users are freed from tasks that previously required manual control. In recent years, studies have been conducted at a level that will rival many control methods such as PID (Proportional Integral Derivative) for many applications. Many control methods such as PID, artificial neural networks, model predictive control, genetic algorithm have been tried for climate control and different results have been obtained. With this study, it is aimed to introduce the fuzzy logic control algorithm and climate control system and to serve as an example of its use for smart homes.