ALSAKARNEH, Amjad ;MOMANI, Lina ;TABAZA, Taha .
Fuzzy and Matlab/Simulink Modelling of the Air Compression Refrigeration Cycle.
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 69, n.9-10, p. 401-408, may 2023.
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/fuzzy-and-matlabsimulink-modelling-of-the-air-compression-refrigeration-cycle/>. Date accessed: 17 feb. 2026.
doi:http://dx.doi.org/10.5545/sv-jme.2023.597.
Alsakarneh, A., Momani, L., & Tabaza, T.
(2023).
Fuzzy and Matlab/Simulink Modelling of the Air Compression Refrigeration Cycle.
Strojniški vestnik - Journal of Mechanical Engineering, 69(9-10), 401-408.
doi:http://dx.doi.org/10.5545/sv-jme.2023.597
@article{sv-jmesv-jme.2023.597,
author = {Amjad Alsakarneh and Lina Momani and Taha Tabaza},
title = {Fuzzy and Matlab/Simulink Modelling of the Air Compression Refrigeration Cycle},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {69},
number = {9-10},
year = {2023},
keywords = {The coefficient of performance; Matlab/Simulink; Takagi-Sugeno-Kang; refrigeration cycles; },
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.},
issn = {0039-2480}, pages = {401-408}, doi = {10.5545/sv-jme.2023.597},
url = {https://www.sv-jme.eu/article/fuzzy-and-matlabsimulink-modelling-of-the-air-compression-refrigeration-cycle/}
}
Alsakarneh, A.,Momani, L.,Tabaza, T.
2023 May 69. Fuzzy and Matlab/Simulink Modelling of the Air Compression Refrigeration Cycle. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 69:9-10
%A Alsakarneh, Amjad
%A Momani, Lina
%A Tabaza, Taha
%D 2023
%T Fuzzy and Matlab/Simulink Modelling of the Air Compression Refrigeration Cycle
%B 2023
%9 The coefficient of performance; Matlab/Simulink; Takagi-Sugeno-Kang; refrigeration cycles;
%! Fuzzy and Matlab/Simulink Modelling of the Air Compression Refrigeration Cycle
%K The coefficient of performance; Matlab/Simulink; Takagi-Sugeno-Kang; refrigeration cycles;
%X 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.
%U https://www.sv-jme.eu/article/fuzzy-and-matlabsimulink-modelling-of-the-air-compression-refrigeration-cycle/
%0 Journal Article
%R 10.5545/sv-jme.2023.597
%& 401
%P 8
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 69
%N 9-10
%@ 0039-2480
%8 2023-05-25
%7 2023-05-25
Alsakarneh, Amjad, Lina Momani, & Taha Tabaza.
"Fuzzy and Matlab/Simulink Modelling of the Air Compression Refrigeration Cycle." Strojniški vestnik - Journal of Mechanical Engineering [Online], 69.9-10 (2023): 401-408. Web. 17 Feb. 2026
TY - JOUR
AU - Alsakarneh, Amjad
AU - Momani, Lina
AU - Tabaza, Taha
PY - 2023
TI - Fuzzy and Matlab/Simulink Modelling of the Air Compression Refrigeration Cycle
JF - Strojniški vestnik - Journal of Mechanical Engineering
DO - 10.5545/sv-jme.2023.597
KW - The coefficient of performance; Matlab/Simulink; Takagi-Sugeno-Kang; refrigeration cycles;
N2 - 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.
UR - https://www.sv-jme.eu/article/fuzzy-and-matlabsimulink-modelling-of-the-air-compression-refrigeration-cycle/
@article{{sv-jme}{sv-jme.2023.597},
author = {Alsakarneh, A., Momani, L., Tabaza, T.},
title = {Fuzzy and Matlab/Simulink Modelling of the Air Compression Refrigeration Cycle},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {69},
number = {9-10},
year = {2023},
doi = {10.5545/sv-jme.2023.597},
url = {https://www.sv-jme.eu/article/fuzzy-and-matlabsimulink-modelling-of-the-air-compression-refrigeration-cycle/}
}
TY - JOUR
AU - Alsakarneh, Amjad
AU - Momani, Lina
AU - Tabaza, Taha
PY - 2023/05/25
TI - Fuzzy and Matlab/Simulink Modelling of the Air Compression Refrigeration Cycle
JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 69, No 9-10 (2023): Strojniški vestnik - Journal of Mechanical Engineering
DO - 10.5545/sv-jme.2023.597
KW - The coefficient of performance, Matlab/Simulink, Takagi-Sugeno-Kang, refrigeration cycles,
N2 - 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.
UR - https://www.sv-jme.eu/article/fuzzy-and-matlabsimulink-modelling-of-the-air-compression-refrigeration-cycle/
Alsakarneh, Amjad, Momani, Lina, AND Tabaza, Taha.
"Fuzzy and Matlab/Simulink Modelling of the Air Compression Refrigeration Cycle" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 69 Number 9-10 (25 May 2023)
