LAPSE:2023.35996
Published Article
LAPSE:2023.35996
Study on Adaptive Parameter Internal Mode Control Method for Argon−Oxygen Refining Ferrochrome Alloy
Na Qu, Shunjie Han, Wen You, Yifan Wang
June 7, 2023
In order to determine a way to be able to shorten the smelting time of low-carbon ferrochrome alloys and to strengthen the temperature control capability of the AOD converter during the smelting process, this article establishes a mechanism model of the rate of oxygen supply and carbon content change in the smelting process as well as the temperature of the reaction fluid in the converter. The physical and chemical reactions of the smelting process and the actual smelting data are used as the basis. The temperature and carbon content in the smelting converter are considered as the output quantity and the rate of oxygen supply is considered as the input quantity. An expert internal model control framework is built. In addition, an adaptive parameter adjustment mechanism is added to the control framework, taking into account data such as the maximum gas supply rate and the maximum limiting temperature of the actual production process. This method improves the smelting speed and smelting accuracy compared to the general internal mode control method. Finally, according to this method, with the use of the built low-carbon ferrochrome alloy centralized control system for smelting, the system shortens the smelting time by 12.79% compared with the general method and controls the converter temperature below 1950 K, which achieves the expected goal according to the simulation and actual smelting results.
Keywords
adaptive parameters, ferrochrome alloy, internal model control, process control, smelting accuracy
Suggested Citation
Qu N, Han S, You W, Wang Y. Study on Adaptive Parameter Internal Mode Control Method for Argon−Oxygen Refining Ferrochrome Alloy. (2023). LAPSE:2023.35996
Author Affiliations
Qu N: School of Medical Information, Changchun University of Chinese Medicine, Changchun 130117, China; School of Mechanical and Electrical Engineering, Changchun University of Technology, Changchun 130012, China
Han S: School of Electrical and Electronic Engineering, Changchun University of Technology, Changchun 130012, China [ORCID]
You W: School of Electrical and Electronic Engineering, Changchun University of Technology, Changchun 130012, China
Wang Y: School of Energy and Environmental Engineering, Jilin Institute of Architecture and Technology, Changchun 130114, China
Journal Name
Processes
Volume
11
Issue
5
First Page
1461
Year
2023
Publication Date
2023-05-11
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr11051461, Publication Type: Journal Article
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LAPSE:2023.35996
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doi:10.3390/pr11051461
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Jun 7, 2023
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Jun 7, 2023
 
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Calvin Tsay
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