Comparison of the speedy estimate methods of the induction motors

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F23%3A10251986" target="_blank" >RIV/61989100:27240/23:10251986 - isvavai.cz</a>

Result on the web

<a href="http://telkomnika.uad.ac.id/index.php/TELKOMNIKA/article/view/24089" target="_blank" >http://telkomnika.uad.ac.id/index.php/TELKOMNIKA/article/view/24089</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.12928/TELKOMNIKA.v21i1.24089" target="_blank" >10.12928/TELKOMNIKA.v21i1.24089</a>

Result language

angličtina

Original language name

Comparison of the speedy estimate methods of the induction motors

Original language description

This paper deals with a novel method to achieve the effective performance of the extended Kalman filter (EKF) for the speedy estimate of an induction motor. The real coding genetic algorithm (GA) is used to optimize the components of the covariance matrix in the EKF, thus ensuring the stability and accuracy of the filter in the speed estimation. The advantage of the proposed method is less dependent on the parameters of the induction motor. The content includes the vector control model for induction motor, the speed estimation by modeling the reference frame-model reference adaptive system (RF-MRAS), the current based-model reference adaptive system (CB-MRAS), and the speed estimation with the EKF optimized by genetic algorithm. Simulative studies on the field-oriented controller (FOC) with different operating conditions are performed in Matlab Simulink when the rotor resistance changes in the current speed estimation methods. The simulation results demonstrate the efficiency of the proposed GA-EKF filter compared with other speed estimation methods of induction motors.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

20201 - Electrical and electronic engineering

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

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

Name of the periodical

Telkomnika

ISSN

1693-6930

e-ISSN

2087-278X

Volume of the periodical

21

Issue of the periodical within the volume

1

Country of publishing house

ID - INDONESIA

Number of pages

12

Pages from-to

223-234

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85143848913