MODEL PREDICTIVE CONTROL USING ARTIFICIAL NEURAL NETWORK APPLIED ON SEMI-BATCH REACTOR
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F11%3A43866673" target="_blank" >RIV/70883521:28140/11:43866673 - isvavai.cz</a>
Alternative codes found
RIV/70883521:28110/11:43866673
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
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. However, the control of the semi-batch reactor is highly complex because of the strongly exothermic chemicalreaction. 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. A model predictive control is applied to the temperature control problem. The system control is generally difficult because of its nonlinear behaviour.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Automatizácia a Riadenie v teórii a praxi 2011
ISBN
978-80-553-0606-3
ISSN
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e-ISSN
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Number of pages
14
Pages from-to
"31/1"-"31/14"
Publisher name
Technická univerzita v Košiciach
Place of publication
Košice
Event location
Stará Lesná
Event date
Feb 16, 2011
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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