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


  • Amjad Alsakarneh Yarmouk University, Hijjawi Faculty for Engineering Technology, Department of Mechanical Engineering, Jordan
  • Lina Momani Higher Colleges of Technology, Fujairah Men’s College, Engineering Division, UAE
  • Taha Tabaza AL-Zaytoonah University of Jordan, Department of Mechanical Engineering, Jordan




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


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.


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How to Cite

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