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Title: Design of fuzzy system for vapour compression refrigeration system
Authors: Singh, Jagdev
Singh, Nirmal
Sharma, J K
Keywords: Vapour compression refrigeration system
Fuzzy modeling
Sugeno fuzzy inference system
Issue Date: Feb-2006
Publisher: CSIR
Series/Report no.: G06N7/02
Abstract: This paper presents fuzzy modeling of multi-input single output (MISO) control of vapour compression refrigeration cycles. Fuzzy model of two input parameters, mass flow rate, and evaporating temperature was developed to describe the significant dynamic of vapour compression cycles. To develop an effective model, fuzzy rule base was designed for MISO control in vapour compression system. The effect of input parameters on superheat through the developed fuzzy model was studied. Comparison of fuzzy and mathematical modeling showed that the MISO control could significantly improve the performance and energy efficiency of vapor compression refrigeration cycle.
Description: 135-141
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.65(02) [February 2006]

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