Implementation of RBF Neural Network in Vector Control Structure of Induction Motor
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092248" target="_blank" >RIV/61989100:27240/14:86092248 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/14:86092248
Result on the web
<a href="http://dx.doi.org/10.15866/iree.v9i4.2922" target="_blank" >http://dx.doi.org/10.15866/iree.v9i4.2922</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.15866/iree.v9i4.2922" target="_blank" >10.15866/iree.v9i4.2922</a>
Alternative languages
Result language
angličtina
Original language name
Implementation of RBF Neural Network in Vector Control Structure of Induction Motor
Original language description
The paper introduces a possible application of artificial neural networks in the control of electrical drives. For this purpose, a rotor time constant adaptation method in a vector control structure of an induction motor is chosen. The estimation of therotor time constant is performed by a model reference adaptive system. For an adaptation algorithm, the radial basis function neural network was used. There is listed necessary mathematical description of the rotor time constant adaptation which is implemented into the vector control structure of the AC drive with the induction motor. Properties of designed algorithms with the radial basis function neural network were verified on a laboratory stand with induction motor drive. Experimental results obtained by measurements are presented and discussed.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Review of Electrical Engineering-IREE
ISSN
1827-6660
e-ISSN
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Volume of the periodical
9
Issue of the periodical within the volume
4
Country of publishing house
IT - ITALY
Number of pages
8
Pages from-to
749-756
UT code for WoS article
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EID of the result in the Scopus database
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