The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS
Transactions ID Number: 88-386
Full Name: Lubomír Mackù
Position: Senior Lecturer
Age: ON
Sex: Male
Address: Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stranemi 4511, Zlin
Country: CZECH REPUBLIC
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E-mail address: macku@fai.utb.cz
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Title of the Paper: Two step, PID and model predictive control using artificial neural network applied on semi-batch reactor
Authors as they appear in the Paper: Lubomír Mackù, David Sámek
Email addresses of all the authors: macku@fai.utb.cz, samek@ft.utb.cz
Number of paper pages: 10
Abstract: The article deals with the control of the semi-batch reactor that is used in chromium waste recycling process based on the enzymatic hydrolysis. The chromium waste comes from the chromium salt tanning while processing the natural leather. The recycling technique separates chrome in the form of chromium filter cake from protein. All products of this procedure are utilisable thus it is a waste free technology. The reactor deals with a problem of chromium sludge (chromium filter cake) reusing. However, the control of the semi-batch reactor is highly complex because the chemical reaction in the reactor is strongly exothermic and the in-reactor temperature is rising very fast depending on the reaction component dosing. To simulate the real process a mathematical model including reaction kinetics was used. The parameters of the achieved model were obtained and verified by experiments. Three different approaches are applied to the temperature control problem: two step con!
trol without and with penalization, PID control and model predictive control. The system control is generally difficult because of its nonlinear behaviour.
Keywords: Predictive control, PID control, Two step control, Chemical semi-batch reactor, Process modelling
EXTENSION of the file: .pdf
Special (Invited) Session: Two step, PID and model predictive control applied on fed batch process
Organizer of the Session: 646-558
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