Speed Sensor Fault-Tolerant Controller for Induction Motor Using New Minimum Probability Voter Based on Signal Strength
dc.contributor.author | Alyoussef, Fadi | |
dc.contributor.author | Akrad, Ahmad | |
dc.date.accessioned | 2024-04-24T17:11:23Z | |
dc.date.available | 2024-04-24T17:11:23Z | |
dc.date.issued | 2019 | |
dc.department | Dicle Üniversitesi | en_US |
dc.description | 3rd International Conference on Applied Automation and Industrial Diagnostics (ICAAID) -- SEP 25-27, 2019 -- Elazig, TURKEY | en_US |
dc.description.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. | en_US |
dc.description.sponsorship | Ziane Achour Univ Djelfa,Firat Univ, Engn Fac,Djelfa Univ, Fac Sci & Technol, Appl Automat & Ind Diagnost Lab,Appl Automat & Ind Diagnost Lab,Algerian IEEE Sect,Turkey IEEE Sect,IEEE Ind Applicat Soc,IEEE,Djelfa Univ, Gas Turbine,Djelfa Univ, Lab Automatique Appliquee Diagnost Ind | en_US |
dc.identifier.doi | 10.1109/icaaid.2019.8934986 | |
dc.identifier.isbn | 978-1-7281-2874-0 | |
dc.identifier.scopus | 2-s2.0-85077964657 | |
dc.identifier.scopusquality | N/A | |
dc.identifier.uri | https://doi.org/10.1109/icaaid.2019.8934986 | |
dc.identifier.uri | https://hdl.handle.net/11468/17456 | |
dc.identifier.wos | WOS:000527444900033 | |
dc.identifier.wosquality | N/A | |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.language.iso | en | en_US |
dc.publisher | Ieee | en_US |
dc.relation.ispartof | 2019 3rd International Conference on Applied Automation and Industrial Diagnostics (Icaaid 2019) | |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Fault Tolerant Control | en_US |
dc.subject | Back-Stepping Controller | en_US |
dc.subject | Voting Algorithms | en_US |
dc.subject | Sliding Mode Observer | en_US |
dc.subject | Extended Kalman Filter | en_US |
dc.title | Speed Sensor Fault-Tolerant Controller for Induction Motor Using New Minimum Probability Voter Based on Signal Strength | en_US |
dc.title | Speed Sensor Fault-Tolerant Controller for Induction Motor Using New Minimum Probability Voter Based on Signal Strength | |
dc.type | Conference Object | en_US |