Fuzzy and Matlab/Simulink Modelling of the Air Compression Refrigeration Cycle
-
Published:2023-09-14
Issue:9-10
Volume:69
Page:401-408
-
ISSN:2536-3948
-
Container-title:Strojniški vestnik - Journal of Mechanical Engineering
-
language:
-
Short-container-title:sv-jme
Author:
Alsakarneh Amjad,Momani Lina,Tabaza Taha
Abstract
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.
Publisher
Faculty of Mechanical Engineering
Subject
Mechanical Engineering,Mechanics of Materials