Reactor Furnace Control using Artificial Neural Networks and Genetic Algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F09%3A00022112" target="_blank" >RIV/60461373:22340/09:00022112 - isvavai.cz</a>
Alternative codes found
RIV/00216275:25530/09:00009502
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Reactor Furnace Control using Artificial Neural Networks and Genetic Algorithm
Original language description
Reactor furnace control design is described in this paper. Reactor furnace, as controlled plant, is significantly nonlinear system and control objectives are strict. Thus, special control technique has to be applied. In this case, discrete PID controllertuned by artificial intelligence techniques is chosen. After reactor furnace description and first principle model derivation, the control method is closely defined. Then, nonlinear neural model of the furnace is designed and control loop is connected.Lastly, control performance is shown and compared to performance derived by conventional control method.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of International Conference Applied Electronics 2009
ISBN
978-80-7043-781-0
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
University of West Bohemia
Place of publication
Plzeň
Event location
Plzeň
Event date
Sep 9, 2009
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000273977300020