Velocity sensor fault-tolerant controller for induction machine using intelligent voting algorithm

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dc.authorid0000-0003-1878-1549en_US
dc.authorid0000-0002-8393-1358en_US
dc.contributor.authorAlyoussef, Fadi
dc.contributor.authorAkrad, Ahmad
dc.contributor.authorSehab, Rabia
dc.contributor.authorMorel, Cristina
dc.contributor.authorKaya, İbrahim
dc.date.accessioned2023-04-19T11:27:18Z
dc.date.available2023-04-19T11:27:18Z
dc.date.issued2022en_US
dc.departmentDicle Üniversitesi, Fen Bilimleri Enstitüsü, Elektrik - Elektronik Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractNowadays, induction machines (IMs) are widely used in industrial and transportation applications (electric or hybrid ground vehicle or aerospace actuators) thanks to their significant advantages in comparison to other technologies. Indeed, there is a large demand for IMs because of their reliability, robustness, and cost-effectiveness. The objective of this paper is to improve the reliability and performance of the three-phase induction machine in case of mechanical sensor failure. Moreover, this paper will discuss the development and proposal of a fault-tolerant controller (FTC), based on the combination of a vector controller, two virtual sensors (an extended Kalman filter, or EKF, and a sliding mode observer, or SMO) and a neural voting algorithm. In this approach, the vector controller is based on a new structure of a back-stepping sliding mode controller, which incorporates a double integral sliding surface to improve the performance of the induction machine in faulty operation mode. More specifically, this controller improves the machine performance in terms of having a fast response, fewer steady-state errors, and a robust performance in the existence of uncertainty. In addition, two voting algorithms are suggested in this approach. The first is based on neural networks, which are insensitive to parameter variations and do not need to set a threshold. The second one is based on fuzzy logic. Finally, validation is carried out by simulations in healthy and faulty operation modes to prove the feasibility of the proposed FTC.en_US
dc.identifier.citationAlyoussef, F., Akrad, A., Sehab, R., Morel, C. ve Kaya, İ. (2022). Velocity sensor fault-tolerant controller for induction machine using intelligent voting algorithm. Journal İnformation, 15(9), 3084en_US
dc.identifier.doi10.3390/en15093084
dc.identifier.endpage18en_US
dc.identifier.issn1996-1073
dc.identifier.issue9en_US
dc.identifier.scopus2-s2.0-85129105973
dc.identifier.scopusqualityQ1
dc.identifier.startpage1en_US
dc.identifier.urihttps://www.mdpi.com/1996-1073/15/9/3084
dc.identifier.urihttps://hdl.handle.net/11468/11727
dc.identifier.volume15en_US
dc.identifier.wosWOS:000794500100001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorAlyussef, Fadi
dc.institutionauthorKaya, İbrahim
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.relation.ispartofJournal İnformation
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectInduction machineen_US
dc.subjectMechanical sensor failureen_US
dc.subjectFault-tolerant controlen_US
dc.subjectSensorless controlen_US
dc.subjectBack-stepping controlleren_US
dc.subjectSliding mode observeren_US
dc.subjectExtended kalman filteren_US
dc.subjectNeural networksen_US
dc.subjectFuzzy logicen_US
dc.subjectVoting algorithmsen_US
dc.subjectReliabilityen_US
dc.subjectPerformanceen_US
dc.titleVelocity sensor fault-tolerant controller for induction machine using intelligent voting algorithmen_US
dc.titleVelocity sensor fault-tolerant controller for induction machine using intelligent voting algorithm
dc.typeArticleen_US

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