Fuzzy and Matlab/Simulink Modelling of the Air Compression Refrigeration Cycle

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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 apr. 2024. 
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 Apr. 2024
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)

Authors

Affiliations

  • Yarmouk University, Hijjawi Faculty for Engineering Technology, Department of Mechanical Engineering, Jordan 1
  • Higher Colleges of Technology, Fujairah Men’s College, Engineering Division, UAE 2
  • AL-Zaytoonah University of Jordan, Department of Mechanical Engineering, Jordan 3

Paper's information

Strojniški vestnik - Journal of Mechanical Engineering 69(2023)9-10, 401-408
© The Authors 2023. CC BY 4.0 Int.

https://doi.org/10.5545/sv-jme.2023.597

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.

The coefficient of performance; Matlab/Simulink; Takagi-Sugeno-Kang; refrigeration cycles;