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.


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