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Research Article Peer ReviewedAt least two reviewers Open Access

Operative-predictive control of a reactor plant based on fuzzy models

1Tashkent University of Information Technologies named after Muhammad al-Khwarizmi
2Kimyo International University in Tashkent
✉ Corresponding author: Malika Doshanova · yulduzxon_85@mail.ru
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Abstract

This article discusses an algorithm for fuzzy control of the technological mode of a reactor unit using fuzzy production models of logical inference and fuzzified measurement information from the control object, discusses the methodology of a computational experiment for modeling technological processes of a reactor unit in order to study control algorithms, and conducts a study of algorithms in a computational experiment. Recommendations are given for configuring the developed algorithms as part of an existing automated process control system and retraining the algorithms, if necessary, by the personnel of the engineering research department of an oil refinery, including using a computational experiment on a mathematical model of the technological process of the reactor unit of a catalytic cracking unit.

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Cite this article

Doshanova, M., Ruzibayev, O., Sabirov, S., & Begimov, O. (2024). Operative-predictive control of a reactor plant based on fuzzy models. In Proceeding of the Cognitive Models and Artificial Intelligence Conference (pp. 34–39). SET Technology. https://doi.org/10.36287/setsci.17.1.0034

Article History

Published
24 Jun 2024

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© 2024 SET Technology. This article is distributed under the terms of the CC BY 4.0.

Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
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