Designing Fuzzy Controller for Air Conditioning Systems in order to Save Energy Consumption and Provide Optimal Conditions in Closed Environments (Indoors)

Today air conditioning systems have been considered by all people as one of welfare requirements in buildings and closed environments. Since a considerable part of energy loss occurs in ordinary modern systems, new strategies and solutions are developed in the field in order to save amount of energy consumption and observe environmental considerations. Fuzzy control is one of these methods which provide a basic powerful rule for decisions made to guarantee optimal use of cooling and heating system. Hence in this research project data measured by environment humidity and temperature were used as input variables and fan speed controller, humidifier, heaters, and compressors were used as output variables to regulate air flow rate and create humidity, cooling and heating conditions in the environment using fuzzy logic for system control.