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