Estimate Parameters of Induction Motor Using ANN and GA Algorithm

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241494" target="_blank" >RIV/61989100:27240/18:10241494 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-69814-4_84" target="_blank" >http://dx.doi.org/10.1007/978-3-319-69814-4_84</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-69814-4_84" target="_blank" >10.1007/978-3-319-69814-4_84</a>

Result language
angličtina
Original language name
Estimate Parameters of Induction Motor Using ANN and GA Algorithm
Original language description
This paper presents methods for estimating induction motor parameters such as stator resistance, stator inductance, rotor inductance, rotor time constant... by artificial neural network (ANN) and genetic algorithm (GA). The first part is the mathematical basis for estimating motor parameters by neural and genetic algorithms, the second part is the motor model for data collection for estimation, the third part is simulation and As a result of the simulation, the results show that it is possible to accurately estimate the parameters of the induction motor by ANN or GA algorithm.
Czech name
—
Czech description
—

Project
<a href="/en/project/TE02000103" target="_blank" >TE02000103: Center for Intelligent Drives and Advanced Machine Control (CIDAM)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Lecture Notes in Electrical Engineering. Volume 465
ISBN
978-3-319-69813-7
ISSN
1876-1100
e-ISSN
1876-1119
Number of pages
11
Pages from-to
872-882
Publisher name
Springer
Place of publication
Cham
Event location
Ho Či Minovo Město
Event date
Dec 7, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)