Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/4808
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dc.contributor.authorSingh, Jagdev-
dc.contributor.authorSingh, Nirmal-
dc.contributor.authorSharma, J K-
dc.date.accessioned2009-06-26T04:53:54Z-
dc.date.available2009-06-26T04:53:54Z-
dc.date.issued2006-02-
dc.identifier.issn0975-1084 (Online); 0022-4456 (Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/4808-
dc.description135-141en_US
dc.description.abstractThis 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.en_US
dc.language.isoen_USen_US
dc.publisherCSIRen_US
dc.relation.ispartofseriesG06N7/02en_US
dc.sourceJSIR Vol.65(02) [February 2006]en_US
dc.subjectVapour compression refrigeration systemen_US
dc.subjectFuzzy modelingen_US
dc.subjectSugeno fuzzy inference systemen_US
dc.titleDesign of fuzzy system for vapour compression refrigeration systemen_US
dc.typeArticleen_US
Appears in Collections:JSIR Vol.65(02) [February 2006]

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