| Issue |
E3S Web of Conf.
Volume 390, 2023
VIII International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-VIII 2023)
|
|
|---|---|---|
| Article Number | 03012 | |
| Number of page(s) | 8 | |
| Section | Information Technologies, Automation Engineering and Digitization of Agriculture | |
| DOI | https://doi.org/10.1051/e3sconf/202339003012 | |
| Published online | 01 June 2023 | |
Intelligent control of gas separation during nitric acid production
Navoi State University of Mining and Technologies, Department of Automation and Control, Energy-mechanics faculty, 210100 Navoi, Uzbekistan
* Corresponding author: olim81@bk.ru
The article considers the possibilities of modeling the characteristics of gas absorption and cooling processes in the production of nitric acid and controlling this process using the radial basis function and neural networks of direct connection. When training a neural network, the input and output results are obtained from the material balance tables and properties of the absorbing column model to train the network with values. The results obtained using neural network models are mainly compared with the results obtained from modeling books. The result obtained shows that relatively simple neural network models can be used to simulate the stationary state of an absorption column. Using modeling, we will see how the neural network type allows the use of modern management methods.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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