Parameters estimation for sensorless control of induction motor drive using modify GA and CSA algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10244969" target="_blank" >RIV/61989100:27240/20:10244969 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-14907-9_57" target="_blank" >http://dx.doi.org/10.1007/978-3-030-14907-9_57</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-14907-9_57" target="_blank" >10.1007/978-3-030-14907-9_57</a>
Alternative languages
Result language
angličtina
Original language name
Parameters estimation for sensorless control of induction motor drive using modify GA and CSA algorithm
Original language description
This paper presents methods for estimating CB-MRAS model parameters such as K1(CB), K2(CB), K3(CB), Ti(CB), KLm, KTr by binary Genetic Algorithm (GA), real number GA, modify GA, and CucKoo Search Algorithm (CSA). The first part of the paper is the vector model of the induction motor and the CB-MRAS model for estimating parameters by the above algorithms; the second part is the detailed way to implement the algorithms; the third part is simulation and as a result of the simulation, the results show that it is possible to estimate the parameters of this model by the modify GA or CSA algorithm.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20200 - Electrical engineering, Electronic engineering, Information engineering
Result continuities
Project
<a href="/en/project/TE02000103" target="_blank" >TE02000103: Center for Intelligent Drives and Advanced Machine Control (CIDAM)</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Electrical Engineering. Volume 554
ISBN
978-3-030-14906-2
ISSN
1876-1100
e-ISSN
1876-1119
Number of pages
12
Pages from-to
580-591
Publisher name
Springer
Place of publication
Cham
Event location
Ostrava
Event date
Sep 11, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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