A robust diagnosis method for speed sensor fault based on stator currents in the RFOC induction motor drive

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10244832" target="_blank" >RIV/61989100:27240/20:10244832 - isvavai.cz</a>

Výsledek na webu

<a href="http://ijece.iaescore.com/index.php/IJECE/article/view/20902/13907" target="_blank" >http://ijece.iaescore.com/index.php/IJECE/article/view/20902/13907</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.11591/ijece.v10i3.pp3035-3046" target="_blank" >10.11591/ijece.v10i3.pp3035-3046</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A robust diagnosis method for speed sensor fault based on stator currents in the RFOC induction motor drive

Popis výsledku v původním jazyce

A valid diagnosis method for the speed sensor failure (SSF) is an essential requirement to ensure the reliability of Fault-Tolerant Control (FTC) models in induction motor drive (IMD) systems. Most recent researches have focused on directly comparing the measured and estimated rotor speed signal to detect the speed sensor fault. However, using that such estimated value in both the fault diagnosis and the controller reconfiguration phases leads to the insufficient performance of FTC modes. In this paper, a novel diagnosis-technique based on the stator current model combined with a confusion prevention condition is proposed to detect the failure states of the speed sensor in the IMD systems. It helps the FTC mode to separate between the diagnosis and reconfiguration phases against a speed sensor fault. This proposed SSF diagnosis method can also effectively apply for IMs&apos; applications at the low-speed range where the speed sensor signal often suffers from noise. MATLAB/Simulink software has been used to implement the simulations in various speed ranges. The achieved results have demonstrated the capability and effectiveness of the proposed SSF method against speed sensor faults. Copyright (C) 2020 Institute of Advanced Engineering and Science. All rights reserved.

Název v anglickém jazyce

A robust diagnosis method for speed sensor fault based on stator currents in the RFOC induction motor drive

Popis výsledku anglicky

A valid diagnosis method for the speed sensor failure (SSF) is an essential requirement to ensure the reliability of Fault-Tolerant Control (FTC) models in induction motor drive (IMD) systems. Most recent researches have focused on directly comparing the measured and estimated rotor speed signal to detect the speed sensor fault. However, using that such estimated value in both the fault diagnosis and the controller reconfiguration phases leads to the insufficient performance of FTC modes. In this paper, a novel diagnosis-technique based on the stator current model combined with a confusion prevention condition is proposed to detect the failure states of the speed sensor in the IMD systems. It helps the FTC mode to separate between the diagnosis and reconfiguration phases against a speed sensor fault. This proposed SSF diagnosis method can also effectively apply for IMs&apos; applications at the low-speed range where the speed sensor signal often suffers from noise. MATLAB/Simulink software has been used to implement the simulations in various speed ranges. The achieved results have demonstrated the capability and effectiveness of the proposed SSF method against speed sensor faults. Copyright (C) 2020 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

2020

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

10

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

ID - Indonéská republika

Počet stran výsledku

12

Strana od-do

3035-3046

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85079432605