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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20200 - Electrical engineering, Electronic engineering, Information engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

International Journal of Electrical and Computer Engineering

ISSN

2088-8708

e-ISSN

—

Svazek periodika

11

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

ID - Indonéská republika

Počet stran výsledku

12

Strana od-do

815-826

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85091166299