Application of RBF Network in Rotor Time Constant Adaptation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86080420" target="_blank" >RIV/61989100:27240/11:86080420 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Application of RBF Network in Rotor Time Constant Adaptation

Original language description

The paper presents the results of the rotor time constant adaptation method with the application of artificial neural network. The estimation of the rotor time constant for adaptive model of MRAS is realized by the help of PI-controller and then is replaced by the Radial Basis Function network. The estimated rotor time constant is then used in the vector control of electrical drive. There were discussed the different architectures of RBF network in the field of adaptation of rotor time constant parameter. Simulations have been performed in the Matlab-Simulink.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

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Project

<a href="/en/project/GA102%2F08%2F0775" target="_blank" >GA102/08/0775: New structures and control algorithms of mobile hybrid systems</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2011

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Elektronika ir elektrotechnika

ISSN

1392-1215

e-ISSN

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Volume of the periodical

113

Issue of the periodical within the volume

7

Country of publishing house

LT - LITHUANIA

Number of pages

6

Pages from-to

21-26

UT code for WoS article

000295565700004

EID of the result in the Scopus database

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