Speed Sensor Fault-Tolerant Controller for Induction Motor Using New Minimum Probability Voter Based on Signal Strength

Fadi Alyoussef; Ahmad Akrad

doi:10.1109/ICAAID.2019.8934986

Speed Sensor Fault-Tolerant Controller for Induction Motor Using New Minimum Probability Voter Based on Signal Strength

Fadi Alyoussef
, Ahmad Akrad

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

A speed sensor fault-tolerant back-stepping controller with a new minimum probability voter based on signal strength (MPVSS) has been introduced in this paper. The major goal of MPVSS is to detect and to reconfigure the induction motor control in case of speed sensor failure (intermittent disconnection of an incremental encoder) using sliding mode observer for low speed estimation and extended Kalman filter for medium and high speed estimation. Here, the proposed MPVSS enjoys the feature of insensitivity to rotor resistance variations and easiness to set its threshold. In fact, signal strength plays an essential role in releasing the designer from severe constraints imposed by selecting a correct voter threshold. Simulation results show the efficiency of the suggested method. Besides, the superiority of the presented approach has been confirmed by comparing its performance with a maximum-likelihood voting algorithm.

Original language	English
Title of host publication	Proceedings - 2019 3rd International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728128740
DOIs	https://doi.org/10.1109/ICAAID.2019.8934986
State	Published - Sep 2019
Externally published	Yes
Event	3rd International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2019 - Elazig, Turkey Duration: 25 Sep 2019 → 27 Sep 2019

Publication series

Name	Proceedings - 2019 3rd International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2019

Conference

Conference	3rd International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2019
Country/Territory	Turkey
City	Elazig
Period	25/09/19 → 27/09/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

Back-Stepping Controller
Extended Kalman Filter
Fault Tolerant Control
Sliding Mode Observer
Voting Algorithms

ASJC Scopus subject areas

Industrial and Manufacturing Engineering
Safety, Risk, Reliability and Quality
Control and Optimization

Access to Document

10.1109/ICAAID.2019.8934986

Cite this

Alyoussef, F., & Akrad, A. (2019). Speed Sensor Fault-Tolerant Controller for Induction Motor Using New Minimum Probability Voter Based on Signal Strength. In Proceedings - 2019 3rd International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2019 Article 8934986 (Proceedings - 2019 3rd International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAAID.2019.8934986

Alyoussef, Fadi ; Akrad, Ahmad. / Speed Sensor Fault-Tolerant Controller for Induction Motor Using New Minimum Probability Voter Based on Signal Strength. Proceedings - 2019 3rd International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (Proceedings - 2019 3rd International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2019).

@inproceedings{3bfb1ff3652d427ba67803390ef9a5da,

title = "Speed Sensor Fault-Tolerant Controller for Induction Motor Using New Minimum Probability Voter Based on Signal Strength",

abstract = "A speed sensor fault-tolerant back-stepping controller with a new minimum probability voter based on signal strength (MPVSS) has been introduced in this paper. The major goal of MPVSS is to detect and to reconfigure the induction motor control in case of speed sensor failure (intermittent disconnection of an incremental encoder) using sliding mode observer for low speed estimation and extended Kalman filter for medium and high speed estimation. Here, the proposed MPVSS enjoys the feature of insensitivity to rotor resistance variations and easiness to set its threshold. In fact, signal strength plays an essential role in releasing the designer from severe constraints imposed by selecting a correct voter threshold. Simulation results show the efficiency of the suggested method. Besides, the superiority of the presented approach has been confirmed by comparing its performance with a maximum-likelihood voting algorithm.",

keywords = "Back-Stepping Controller, Extended Kalman Filter, Fault Tolerant Control, Sliding Mode Observer, Voting Algorithms",

author = "Fadi Alyoussef and Ahmad Akrad",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 3rd International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2019 ; Conference date: 25-09-2019 Through 27-09-2019",

year = "2019",

month = sep,

doi = "10.1109/ICAAID.2019.8934986",

language = "English",

series = "Proceedings - 2019 3rd International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings - 2019 3rd International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2019",

address = "United States",

}

Alyoussef, F & Akrad, A 2019, Speed Sensor Fault-Tolerant Controller for Induction Motor Using New Minimum Probability Voter Based on Signal Strength. in Proceedings - 2019 3rd International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2019., 8934986, Proceedings - 2019 3rd International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2019, Institute of Electrical and Electronics Engineers Inc., 3rd International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2019, Elazig, Turkey, 25/09/19. https://doi.org/10.1109/ICAAID.2019.8934986

Speed Sensor Fault-Tolerant Controller for Induction Motor Using New Minimum Probability Voter Based on Signal Strength. / Alyoussef, Fadi; Akrad, Ahmad.
Proceedings - 2019 3rd International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8934986 (Proceedings - 2019 3rd International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Speed Sensor Fault-Tolerant Controller for Induction Motor Using New Minimum Probability Voter Based on Signal Strength

AU - Alyoussef, Fadi

AU - Akrad, Ahmad

PY - 2019/9

Y1 - 2019/9

N2 - A speed sensor fault-tolerant back-stepping controller with a new minimum probability voter based on signal strength (MPVSS) has been introduced in this paper. The major goal of MPVSS is to detect and to reconfigure the induction motor control in case of speed sensor failure (intermittent disconnection of an incremental encoder) using sliding mode observer for low speed estimation and extended Kalman filter for medium and high speed estimation. Here, the proposed MPVSS enjoys the feature of insensitivity to rotor resistance variations and easiness to set its threshold. In fact, signal strength plays an essential role in releasing the designer from severe constraints imposed by selecting a correct voter threshold. Simulation results show the efficiency of the suggested method. Besides, the superiority of the presented approach has been confirmed by comparing its performance with a maximum-likelihood voting algorithm.

AB - A speed sensor fault-tolerant back-stepping controller with a new minimum probability voter based on signal strength (MPVSS) has been introduced in this paper. The major goal of MPVSS is to detect and to reconfigure the induction motor control in case of speed sensor failure (intermittent disconnection of an incremental encoder) using sliding mode observer for low speed estimation and extended Kalman filter for medium and high speed estimation. Here, the proposed MPVSS enjoys the feature of insensitivity to rotor resistance variations and easiness to set its threshold. In fact, signal strength plays an essential role in releasing the designer from severe constraints imposed by selecting a correct voter threshold. Simulation results show the efficiency of the suggested method. Besides, the superiority of the presented approach has been confirmed by comparing its performance with a maximum-likelihood voting algorithm.

KW - Back-Stepping Controller

KW - Extended Kalman Filter

KW - Fault Tolerant Control

KW - Sliding Mode Observer

KW - Voting Algorithms

UR - https://www.scopus.com/pages/publications/85077964657

U2 - 10.1109/ICAAID.2019.8934986

DO - 10.1109/ICAAID.2019.8934986

M3 - Conference contribution

AN - SCOPUS:85077964657

T3 - Proceedings - 2019 3rd International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2019

BT - Proceedings - 2019 3rd International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2019

Y2 - 25 September 2019 through 27 September 2019

ER -

Alyoussef F, Akrad A. Speed Sensor Fault-Tolerant Controller for Induction Motor Using New Minimum Probability Voter Based on Signal Strength. In Proceedings - 2019 3rd International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8934986. (Proceedings - 2019 3rd International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2019). doi: 10.1109/ICAAID.2019.8934986

Speed Sensor Fault-Tolerant Controller for Induction Motor Using New Minimum Probability Voter Based on Signal Strength

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this