| Issue |
E3S Web Conf.
Volume 633, 2025
International Forum of Global Advances in Sustainable Environment, Energy, and Earth Sciences (GASES 2025)
|
|
|---|---|---|
| Article Number | 08005 | |
| Number of page(s) | 8 | |
| Section | Energy Engineering and Infrastructure | |
| DOI | https://doi.org/10.1051/e3sconf/202563308005 | |
| Published online | 04 June 2025 | |
Automation and modeling of copper smelting processes in Vanyukov furnace
1 S. Seifullin Kazakh Agrotechnical Research University, 010000 Astana, Republic of Kazakhstan
2 G. Daukeev Almaty University of Power Engineering and Telecommunications, 010000 Almaty, Republic of Kazakhstan
3 M. Auezov South Kazakhstan State University, 160010 Shymkent, Republic of Kazakhstan
* Corresponding author: n_mussabekov@mail.ru
This article discusses the process of copper smelting in a Vanyukov furnace, with special attention paid to maintaining the optimal melt temperature, which is a key factor in the stable operation of the furnace. The article presents the results of experimental studies conducted at the Balkhash Copper Smelter, as well as experimental statistical data on the input and output parameters of the automated process control system (APCS). To build a mathematical model of the process, the System Identification Toolbox package in the MATLAB environment was used. As part of the work, modeling was carried out using a PID controller, its parameters were optimized to minimize the mean square error of regulation. In addition, the effectiveness of a fuzzy controller was considered, which showed a decrease in the dynamic error and a smoother process.
© The Authors, published by EDP Sciences, 2025
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.