Rotor time constant adaptation with ANN application
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F07%3A00014996" target="_blank" >RIV/61989100:27240/07:00014996 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27120/07:00014996
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Rotor time constant adaptation with ANN application
Original language description
In the paper there are presented results of method for rotor time constant adaptation with application of artificial neural network. The method employs the model reference adaptive system (MRAS). The method is based on application of current model and voltage model of rotor flux in MRAS. The estimation of rotor time constant for adaptive model of MRAS is realized by the help of PI-controller. In next part of the paper there is described a replacement of adaptation algorithm in MRAS by the help of artificial neural network. The estimated rotor time constant is necessary for so-called current model which is used in the vector control of the induction motor. Simulations have been performed in the Matlab-Simulink. The control algorithms are implemented using TMS320C2812 DSP. At the end of the paper some simulation and experimental results are provided to demonstrate the effectiveness of proposed method.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F05%2F2080" target="_blank" >GA102/05/2080: Research on applications of artificial intelligence in the control of electrical drives</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
European Conference on Power Electronics and Applications
ISBN
978-90-75815-11-5
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
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Publisher name
IEEE SERVICE CTR
Place of publication
PISCATAWAY, NJ
Event location
Aalborg, DENMARK
Event date
Sep 2, 2007
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000255993602018