Particle swarm optimization-based stator resistance observer for speed sensorless induction motor drive

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F21%3A10246313" target="_blank" >RIV/61989100:27240/21:10246313 - isvavai.cz</a>

Result on the web

<a href="http://ijece.iaescore.com/index.php/IJECE/article/view/22027/14564" target="_blank" >http://ijece.iaescore.com/index.php/IJECE/article/view/22027/14564</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.11591/ijece.v11i1.pp815-826" target="_blank" >10.11591/ijece.v11i1.pp815-826</a>

Result language

angličtina

Original language name

Particle swarm optimization-based stator resistance observer for speed sensorless induction motor drive

Original language description

This paper presents a different technique for the online stator resistance estimation using a particle swarm optimization (PSO) based algorithm for rotor flux oriented control schemes of induction motor drives without a rotor speed sensor. First, a conventional proportional-integral controller-based stator resistance estimation technique is used for a speed sensorless control scheme with two different model reference adaptive system (MRAS) concepts. Finally, a novel method for the stator resistance estimation based on the PSO algorithm is presented for the two MRAS-type observers. Simulation results in the Matlab/Simulink environment show good adaptability of the proposed estimation model while the stator resistance is varied to 200% of the nominal value. The results also confirm more accurate stator resistance and rotor speed estimation in comparison with the conventional technique. (C) 2021 Institute of Advanced Engineering and Science. All rights reserved.

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

20200 - Electrical engineering, Electronic engineering, Information engineering

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2021

Confidentiality

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

Name of the periodical

International Journal of Electrical and Computer Engineering

ISSN

2088-8708

e-ISSN

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Volume of the periodical

11

Issue of the periodical within the volume

1

Country of publishing house

ID - INDONESIA

Number of pages

12

Pages from-to

815-826

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85091166299