Fuzzy Modeling and Identification of Vapor Compression Elements of Aif Conditioning System for Integrated Fuzzy Model
نویسندگان
چکیده
Conventional control techniques are not able to accomplish the stable cooling in vapor compression air conditioning system. This paper describes the fuzzy models of refrigerating compressor, expansion valve, evaporator and condenser as basic elements of vapor compression air conditioning system. Compressor speed, delivery pressure, refrigerant flow rate, valve opening area, pressure difference across the orifice of expansion valve, evaporator temperature, condenser temperature, evaporator superheat and condenser superheat have been taken as different variables for vapor compression elements. Fuzzy model of all the elements has been compared with their respective mathematical models for their validation. Integrated fuzzy model was also developed for vapor compression air conditioning system. Performance was evaluated by comparing, integrated fuzzy model, individual fuzzy model and mathematical model for the vapor compression systems. Fuzzy models were developed using adaptive neuro-fuzzy inference system (ANFIS). R-134a has been used as refrigerant in the vapor compression cycle. Key Words, Vapor compression elements, Individual fuzzy model, Integrated fuzzy model, R-134a, ANFIS, Sugeno fuzzy inference system
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