A robust diagnosis method for speed sensor fault based on stator currents in the RFOC induction motor drive
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
A robust diagnosis method for speed sensor fault based on stator currents in the RFOC induction motor drive
Original language description
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' 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.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - 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
Result continuities
Project
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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
Name of the periodical
International Journal of Electrical and Computer Engineering
ISSN
2088-8708
e-ISSN
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Volume of the periodical
10
Issue of the periodical within the volume
3
Country of publishing house
ID - INDONESIA
Number of pages
12
Pages from-to
3035-3046
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85079432605