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Model Identification and Control of Electromagnetic Actuation in Continuous Casting Process With Improved Quality
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
Authors:Isabela Birs  Cristina Muresan  Dana Copot  Clara Ionescu
Affiliation:1. Research Group of Dynamical Systems and Control, Faculty of Engineering and Architecture, Ghent University and with EEDT Decision & Control, Flanders Make Consortium, Tech Lane Science Park 125 and 131, B-9052 Ghent, Belgium. I. Birs and C. Ionescu are also with the Automation Department, Faculty of Automation and Applied Informatics, Technical University of Cluj-Napoca, Romania;2. Automation Department, Faculty of Automation and Applied Informatics, Technical University of Cluj-Napoca, Romania
Abstract: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. 
Keywords:Electromagnetic actuator   fractional order control   fractional order system model   non-Newtonian material
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