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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=151862"><dc:title>Fuzzy and Matlab/Simulink modelling of the air compression refrigeration cycle</dc:title><dc:creator>Alsakarneh,	Amjad	(Avtor)
	</dc:creator><dc:creator>Momani,	Lina	(Avtor)
	</dc:creator><dc:creator>Tabaza,	Taha	(Avtor)
	</dc:creator><dc:subject>coefficient of performance</dc:subject><dc:subject>Matlab/Simulink</dc:subject><dc:subject>Takagi-Sugeno-Kang</dc:subject><dc:subject>refrigeration cycles</dc:subject><dc:description>The coefficient of performance (COP) for a gas refrigeration cycle was estimated using Matlab/Simulink and fuzzy logic. A Matlab/Simulink model of the gas refrigeration cycle was developed, and the output was compared to theoretical data. Additionally, fuzzy logic was used to estimate the COP for arbitrary low- and high-pressure levels. Simulation results were used to develop a multi-input-multi-output (MIMO) fuzzy Takagi-Sugeno-Kang (TSK)-based model. Both the Matlab/Simulink and the MIMO fuzzy model were found to be very well correlated with theoretical results, with an error of less than 2 %. These results demonstrate the effectiveness of using fuzzy logic to analyse gas refrigeration cycles and suggest that this approach can be extended to analyse other thermodynamic cycles.</dc:description><dc:date>2023</dc:date><dc:date>2023-10-23 10:51:05</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>151862</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>