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The design of intelligent control of a kitchen refrigerator

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  • Mraz, Miha

Abstract

The article provides an example of how to design an “intelligent” digital control for maintaining the temperature at a predefined level in a common kitchen refrigerator. The control works on the basis of modeling a thermostatic appliance and the use of fuzzy logic. Thermostatically simulated and fuzzy controlled model are presented successively. The latter is set-up on the basis of the Sugeno’s type of fuzzy rules and the Jang’s procedure of learning. MATLAB, SIMULINK and Fuzzy Logic TOOLBOX (FLT) are the programming environments used for realization of the model. The principal aim in designing the control is to assure the fastest and best transition possible from an analogue to digital control of the refrigerating appliance, which represents the basis of a functional expansion demanded by the present market.

Suggested Citation

  • Mraz, Miha, 2001. "The design of intelligent control of a kitchen refrigerator," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 56(3), pages 259-267.
    • Handle: RePEc:eee:matcom:v:56:y:2001:i:3:p:259-267
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    Cited by:

    1. Juan M. Belman-Flores & Donato Hernández-Fusilier & Juan J. García-Pabón & David A. Rodríguez-Valderrama, 2024. "Intelligent Control Based on Usage Habits in a Domestic Refrigerator with Variable Speed Compressor for Energy-Saving," Clean Technol., MDPI, vol. 6(2), pages 1-23, April.
    2. Maiorino, Angelo & Del Duca, Manuel Gesù & Aprea, Ciro, 2022. "ART.I.CO. (ARTificial Intelligence for COoling): An innovative method for optimizing the control of refrigeration systems based on Artificial Neural Networks," Applied Energy, Elsevier, vol. 306(PB).

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