Online continuous-time adaptive predictive control of the technological glass conditioning process

• Autorzy: Drapała Michał , Byrski Witold

Identyfikatory

DOI

10.24425/acs.2022.143670

• Języki publikacji: EN

Abstrakty

EN

Glass production has a great industrial importance and is associated with many technological challenges. Control related problems concern especially the last part of the process, so called glass conditioning. Molten glass is gradually cooled down in a long ceramic channels called forehearths during glass conditioning. The glass temperature in each zone of the forehearth should be precisely adjusted according to the assumed profile. Due to cross-couplings and unmeasured disturbances, traditional control systems based on PID controllers, often do not ensure sufficient control quality. This problem is the main motivation for the research presented in the paper. A Model Predictive Control algorithm is proposed for the analysed process. It is assumed the dynamic model for each zone of the forehearth is identified on-line with the Modulating Functions Method. These continuous-time linear models are subsequently used for two purposes: for the predictive controller tuning, measurable disturbances compensation and for a static set point optimisation. Proposed approach was tested using Partial Differential Equation model to simulate two adjacent zones of the forehearth. The experimental results proved that it can be successfully applied for the aforementioned model.

Słowa kluczowe

EN

system identification; modulating functions method; model predictive control; continuous-time systems; glass forehearth

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 2022
• Tom: Vol. 32, No. 4
• Strony: 755--782
• Opis fizyczny: Bibliogr. 19 poz., rys., tab., wzory

Twórcy

autor

Drapała Michał

• Department of Automatic Control and Robotics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Poland

autor

Byrski Witold

• Department of Automatic Control and Robotics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Poland

Bibliografia

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Uwagi

1. This work was supported by the scientific research funds from the Polish Ministry of Education and Science and AGH UST Agreement no 16.16.120.773 and was also conducted within the research of EC Grant H2020-MSCARISE-2018/824046.

2. Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)