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Development of a neuro-fuzzy model of a polymerizer reactorстатья
- Авторы: Lopatin A.G., Brykov B.A., Lukina A.A.
- Сборник: 2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)
- Серия: IEEE Conference Publications
- Год издания: 2022
- Издательство: Institute of Electrical and Electronics Engineers
- Местоположение издательства: Piscataway, NJ, United States
- Первая страница: 1
- Последняя страница: 5
- Номер статьи: 10
- DOI: 10.1109/ICIEAM54945.2022.9787112
- Аннотация: The article proposes an universal algorithm for the synthesis of fuzzy models of industrial control objects using adaptive neuro-fuzzy inference system. A typical polymerizer reactor is used as an example to create a model. The stages of synthesis a fuzzy model, the initial conditions of modeling, the block diagram of the model and the results of simulation modeling are given. A good convergence of the results of the fuzzy model and the initial data is shown. It is shown that the presented algorithm for the synthesis of fuzzy models can be adapted to any control object such as a reactor.
- Добавил в систему: Брыков Богдан Александрович