Predictive Control Using Neural Network Applied on Semi-batch Reactor

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F11%3A43866904" target="_blank" >RIV/70883521:28140/11:43866904 - isvavai.cz</a>
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RIV/70883521:28110/11:43866904
Výsledek na webu
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Jazyk výsledku
angličtina
Název v původním jazyce
Predictive Control Using Neural Network Applied on Semi-batch Reactor
Popis výsledku v původním jazyce
The article deals with the control of the semi-batch reactor that is used in chromium sludge processing. 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. The control of the semi-batch reactor is difficult by common control methods because of the strongly exothermic chemical reaction. A model predictive control using artificial neural network is applied to the temperature control problem. The system control is generally complicated because of its nonlinearities.
Název v anglickém jazyce
Predictive Control Using Neural Network Applied on Semi-batch Reactor
Popis výsledku anglicky
The article deals with the control of the semi-batch reactor that is used in chromium sludge processing. 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. The control of the semi-batch reactor is difficult by common control methods because of the strongly exothermic chemical reaction. A model predictive control using artificial neural network is applied to the temperature control problem. The system control is generally complicated because of its nonlinearities.

Rok uplatnění
2011
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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