Real-Time Estimation of Induction Motor Parameters Based on the Genetic Algorithm

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86088975" target="_blank" >RIV/61989100:27240/13:86088975 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-33018-6_41" target="_blank" >http://dx.doi.org/10.1007/978-3-642-33018-6_41</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-33018-6_41" target="_blank" >10.1007/978-3-642-33018-6_41</a>

Result language
angličtina
Original language name
Real-Time Estimation of Induction Motor Parameters Based on the Genetic Algorithm
Original language description
This article shows one of many ways how to identify the parameters of the IM in real time. There is used the theory of genetic algorithms for IM parameters identification. The introduction describes why the problem is discussed. Next chapters show induction motor's dynamic model and the principle and way how to implement the IM's parameters identification. Theory of used genetic algorithm and experimental results are demonstrated in the end of this article. The conclusion describes the potential use ofthis method and discusses further development in the field of real time estimation of induction motor's parameters.
Czech name
—
Czech description
—

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Advances in Intelligent Systems and Computing. Volume 189
ISBN
978-3-642-33017-9
ISSN
2194-5357
e-ISSN
—
Number of pages
9
Pages from-to
401-409
Publisher name
Springer
Place of publication
Berlin
Event location
Ostrava
Event date
Sep 5, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000312969500041

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