Two step, PID and model predictive control using artificial neural network applied on semi-batch reactor

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F10%3A63509173" target="_blank" >RIV/70883521:28140/10:63509173 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Two step, PID and model predictive control using artificial neural network applied on semi-batch reactor
Original language description
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, thecontrol 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 control without and with
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BC - Theory and management systems
OECD FORD branch
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Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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