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Volume 10 Issue 1
Jan.  2023

IEEE/CAA Journal of Automatica Sinica

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I. Birs, C. Muresan, D. Copot, and  C. Ionescu,  “Model identification and control of electromagnetic actuation in continuous casting process with improved quality,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 1, pp. 203–215, Jan. 2023. doi: 10.1109/JAS.2023.123027
Citation: I. Birs, C. Muresan, D. Copot, and  C. Ionescu,  “Model identification and control of electromagnetic actuation in continuous casting process with improved quality,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 1, pp. 203–215, Jan. 2023. doi: 10.1109/JAS.2023.123027

Model Identification and Control of Electromagnetic Actuation in Continuous Casting Process With Improved Quality

doi: 10.1109/JAS.2023.123027
Funds:  This work was supported by Research Foundation Flanders (FWO) (1S04719N, 12X6819N), and partially supported by a grant of the Ministry of Research, Innovation and Digitization, CNCS - UEFISCDI, project number PN-III-P1-1.1-PD-2021-0204, within PNCDI III
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  • This paper presents an original theoretical framework to model steel material properties in continuous casting line process. Specific properties arising from non-Newtonian dynamics are herein used to indicate the natural convergence of distributed parameter systems to fractional order transfer function models. Data driven identification from a real continuous casting line is used to identify model of the electromagnetic actuator device to control flow velocity of liquid steel. To ensure product specifications, a fractional order control is designed and validated on the system. A projection of the closed loop performance onto the quality assessment at end production line is also given in this paper.

     

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    Highlights

    • theoretical framework for modeling steel material properties in continuous casting line process
    • non-Newtonian dynamics captured using fractional order transfer function models
    • data driven identification using a real continuous casting line
    • design and validation of a fractional order controller to ensure product specifications
    • quality improvement of the final product using a fractional order event-based approach

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