Emulation with Neural Networks for Optimization Algorithms Finding
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F10%3APU88671" target="_blank" >RIV/00216305:26220/10:PU88671 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
čeština
Original language name
Emulation with Neural Networks for Optimization Algorithms Finding
Original language description
The paper describes using the artificial neural network for array of solar panels emulation for finding optimization algorithms. This emulation is done in Matlab/Simulink with using Neural Networks Toolbox. It is emulation of real plant. Real plant is small solar plant. This plant is laboratory model for students. Laboratory model is used for control and optimization algorithms testing. Neural network emulation is used for developing optimal algorithms before usage on real plant. These control algorithms are then used for changing of solar panels array angle to light source. Main idea of that is maximize get power from solar panels array. Developed control algorithms are implemented to B&R Program Logic Controller (PLC). Some parts of implementation are done through automatically code generation from Matlab/Simulink.
Czech name
Emulation with Neural Networks for Optimization Algorithms Finding
Czech description
The paper describes using the artificial neural network for array of solar panels emulation for finding optimization algorithms. This emulation is done in Matlab/Simulink with using Neural Networks Toolbox. It is emulation of real plant. Real plant is small solar plant. This plant is laboratory model for students. Laboratory model is used for control and optimization algorithms testing. Neural network emulation is used for developing optimal algorithms before usage on real plant. These control algorithms are then used for changing of solar panels array angle to light source. Main idea of that is maximize get power from solar panels array. Developed control algorithms are implemented to B&R Program Logic Controller (PLC). Some parts of implementation are done through automatically code generation from Matlab/Simulink.
Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F09%2F1680" target="_blank" >GA102/09/1680: Control Algorithm Design by Means of Evolutionary Approach</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Annals of Daaam for 2010 & Proceedings
ISBN
978-3-901509-73-5
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
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Publisher name
DAAAM International Viena
Place of publication
TU Wien, Karlsplatz 13/311, A-1040 Vienna, Austr
Event location
Zadar
Event date
Oct 20, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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