IMC Strategy Using Neural Networks for 3D Printer Bed Temperature Control
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F20%3A39916812" target="_blank" >RIV/00216275:25530/20:39916812 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-63322-6_84" target="_blank" >http://dx.doi.org/10.1007/978-3-030-63322-6_84</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-63322-6_84" target="_blank" >10.1007/978-3-030-63322-6_84</a>
Alternative languages
Result language
angličtina
Original language name
IMC Strategy Using Neural Networks for 3D Printer Bed Temperature Control
Original language description
In this contribution, the temperature control of the 3D printer heatbed is observed. As the heat exchange power is strictly limited and the thermal process time constants are naturally around tens and hundreds of seconds, these processes are basically slow. The measuring of new data is time consuming, which can cause the profit loss in case of experiments in the production. Moreover, the finding of better control method can lead to significant monetary savings. One of the scopes of this article is to find out if it’s possible to built-up the neural network-based controller system together with the internal model control strategy providing better performance with data obtained in the production, where simply tuned PSD controller was used. The suitable order of the heating system is observed together with the size of the sampling period and neural network topology. The controllability with best performing neural networks is verified on the 3D printer heating bed.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Software engineering perspectives in intelligent systems : proceedings of 4th computational methods in systems and software 2020, Vol.1
ISBN
978-3-030-63321-9
ISSN
2194-5357
e-ISSN
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Number of pages
11
Pages from-to
979-989
Publisher name
Springer Nature Switzerland AG
Place of publication
Cham
Event location
Vsetín
Event date
Oct 14, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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