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VERSION:2.0
METHOD:PUBLISH
BEGIN:VEVENT
ORGANIZER;CN=ESTAD 2023:mailto:info@metec-estad.com
LOCATION:Room 15b
SUMMARY:Pulverized coal injection tank pressure control using fuzzy based gain regulation for model reference adaptive controller
DESCRIPTION:Pulverized coal injection (PCI) plants play significant role in reducing the blast furnace total energy consumption. Injecting desired amount of pulverized coal to a blast furnace is important not only for energy saving but also for process health. Pulverized coal injection rates from a PCI plant to a blast furnace is automatically controlled by logical algorithms and PID controllers of the automation system libraries. Since industrial plants do not have exact mathematical model, parameters of PID controller are determined according to the system dynamic response observed as a result of the experimental tests. Due to the system dynamics changes by time, the controller can not provide desired proves variable and parameters of PID controller need to be re-configured. Model reference adaptive controllers (MRAC) are used in many industrial applications in which the mathematical model of the system is unknown and the dynamic response of the system is changing over time. In this study, MIT and Lyapunov based model reference adaptive controller is applied in a pulverized coal injection tank pressure control system of a PCI facility, which is the critical process ironmaking energy consumption. In addition, fuzzy based adaptation gain regulation is proposed to improve MRAC performance. Adaptation speed and performance of MRAC is analyzed under disturbance effect. Control performance results of fuzzy based gain regulation MRAC is compared with PID controller and It is observed that MRAC shows better performance.
CLASS:PUBLIC
DTSTART:20230614T092000
DTEND:20230614T094000
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