Implementation of RBF Neural Network in Vector Control Structure of Induction Motor

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/61989100:27740/14:86092248

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Implementation of RBF Neural Network in Vector Control Structure of Induction Motor

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Implementation of RBF Neural Network in Vector Control Structure of Induction Motor

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

<a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název periodika

International Review of Electrical Engineering-IREE

ISSN

1827-6660

e-ISSN

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Svazek periodika

9

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

IT - Italská republika

Počet stran výsledku

8

Strana od-do

749-756

Kód UT WoS článku

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EID výsledku v databázi Scopus

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