Application of RBF Neural Network in Sensorless Control of AC Drive with 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%3A86092250" target="_blank" >RIV/61989100:27240/14:86092250 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/14:86092250
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-07995-0_22" target="_blank" >http://dx.doi.org/10.1007/978-3-319-07995-0_22</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-07995-0_22" target="_blank" >10.1007/978-3-319-07995-0_22</a>
Alternative languages
Result language
angličtina
Original language name
Application of RBF Neural Network in Sensorless Control of AC Drive with Induction Motor
Original language description
The paper deals with application of artificial neural networks in a speed control structure of A. C. drive with an induction motor. The sensorless control structure of the A. C. drive contains a radial basis function neural network for speed estimation.This speed estimator was compared with the speed estimator using multilayer feedforward artificial neural network. The sensorless A. C. drive was simulated in program Matlab with Simulink toolbox. The main goal was to find suitable structures of artificial neural networks with required number of neuron units which will provide good control characteristics. It was realized important simulations which confirm the rightness of proposed structures and good behavior of developed speed estimators.
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/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
Article name in the collection
Advances in intelligent systems and computing. Volume 299
ISBN
978-3-319-07994-3
ISSN
2194-5357
e-ISSN
—
Number of pages
11
Pages from-to
217-227
Publisher name
Springer
Place of publication
Berlin
Event location
Bilbao
Event date
Jun 25, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000343754200022