Refrigerator temperature control using fuzzy logic and neural network

This paper describes the quick and precise control method for domestic refrigerators. The proposed controller is based on the fuzzy logic and neural network designed maintaining the constant inner temperature of the refrigerator and improving the refrigerator efficiency. The fuzzy logic controller is used to maintain the inner temperature in spite of the environmental variations such as the outer temperature change or the volume change of the stored foods of the refrigerator. A neural network is used and trained to recognize the user-pattern such as the number of door openings of the refrigerator. The 1st order approximated model of the refrigerator is used for the simulation. Through the simulation in the case of the outer temperature change like summer or winter, the proposed fuzzy logic controller with a neural network is shown to be more efficient than the conventional on-off controller