Development and Synthesis of Linguistic Models for Catalytic Cracking Unit in a Fuzzy Environment
Orazbayev B. Boranbayeva N. Makhatova V. Rzayeva L. Ospanov Y. Kurmashev I. Kurmangaziyeva L.
August 2024Multidisciplinary Digital Publishing Institute (MDPI)
Processes
2024#12Issue 8
This research develops a method for synthesizing linguistic models of fuzzy systems with fuzzy input and output parameters that are described by linguistic variables. Based on the proposed method, linguistic models of the Title 1000 catalytic cracking unit for heavy residues at the Shymkent oil refinery are developed, describing the dependence of the volume and quality of gasoline on the input and operating parameters of the facility, which are fuzzy. It is substantiated that the use of a fuzzy approach, which allows the use of the experience, knowledge, and intuition (intelligence) of the decision maker and subject matter experts, is the most suitable effective method for synthesizing models of complex, fuzzily described objects and processes for comparison with other methods. The main idea of the proposed work is to solve the problems of shortage and fuzziness of initial information when developing models and optimizing the operating modes of a catalytic cracking unit through the use of knowledge, experience, and intuition of experts in this field. To solve the problems of the shortage of initial quantitative information and the fuzziness of available information when developing mathematical models, it is proposed to systematically use statistical methods, expert assessment methods, and a heuristic method based on fuzzy logic. The scientific novelty of the research lies in the development of a method for synthesizing linguistic models in a fuzzy environment and an algorithm for its implementation, which makes it possible to describe the dependence of the fuzzy values of the object’s output parameters on its fuzzy input and operating parameters. The proposed approach allows the formalization and synthesis of models of fuzzily described objects when other methods of model development are not applicable or do not give the expected results. The results of the work were simulated in the MATLAB Fuzzy Logic Toolbox.
catalytic cracking process , computer modeling , fuzzy logic , linguistic model , optimization
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Faculty of Information Technologies, L. N. Gumilyov, Eurasian National University, Astana, 010000, Kazakhstan
Faculty of Physics, Mathematics and Information Technology, Kh. Dosmukhamedov Atyrau University, Atyrau, 060011, Kazakhstan
Department Intelligent Systems and Cybersecurity, Astana IT University, Astana, 010000, Kazakhstan
Faculty of Engineering and Technology, Shakarim University, Semey, 070014, Kazakhstan
Department of Information and Communication Technologies, M. Kozybayev North Kazakhstan University, Petropavlovsk, 150000, Kazakhstan
Faculty of Information Technologies
Faculty of Physics
Department Intelligent Systems and Cybersecurity
Faculty of Engineering and Technology
Department of Information and Communication Technologies
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