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dc.contributor.authorMansouri, Mohamed
dc.contributor.authorBey, Mohamed
dc.contributor.authorHassaine, Said
dc.contributor.authorLarbi, Mhamed
dc.contributor.authorAllaoui, Tayeb
dc.contributor.authorDenai, Mouloud
dc.date.accessioned2022-03-30T15:45:01Z
dc.date.available2022-03-30T15:45:01Z
dc.date.issued2022-02-10
dc.identifier.citationMansouri , M , Bey , M , Hassaine , S , Larbi , M , Allaoui , T & Denai , M 2022 , ' Genetic algorithm optimized robust nonlinear observer for a wind turbine system based on permanent magnet synchronous generator ' , ISA Transactions . https://doi.org/10.1016/j.isatra.2022.02.004
dc.identifier.issn0019-0578
dc.identifier.otherPURE: 26889092
dc.identifier.otherPURE UUID: bffc2117-abf1-45c5-8667-7a7e6f2abb4c
dc.identifier.otherScopus: 85125343308
dc.identifier.urihttp://hdl.handle.net/2299/25449
dc.description© 2022 ISA. Published by Elsevier Ltd. All rights reserved. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1016/j.isatra.2022.02.004
dc.description.abstractThis paper presents an optimal control scheme for a Permanent Magnet Synchronous Generator (PMSG) coupled to a wind turbine operating without a position sensor. This sensorless scheme includes two observers: The first observer uses the flux to estimate the speed. However, an increase in the temperature or a degradation of the permanent magnet characteristics will result in a demagnetization of the machine causing a drop in the flux. The second observer is therefore used to estimate these changes in the flux from the speed and guaranties the stability of the system. This structure leads to a better exchange of information between the two observers, eliminates the problem of encoder and compensates for the demagnetization problem. To improve the precision of the speed estimator, the gain of the non-linear observer is optimized using Genetic Algorithm (GA) and the speed is obtained from a modified Phase Locked Loop (PLL) method using an optimized Sliding Mode Controller (SMC). Furthermore, to enhance the convergence speed of this observer scheme and improve the performance of the system a Fast Super Twisting Sliding Mode Control (FSTSMC) is introduced to reinforce the SMC strategy. A series of simulations are presented to show the effectiveness and robustness of proposed observer scheme.en
dc.format.extent13
dc.language.isoeng
dc.relation.ispartofISA Transactions
dc.subjectFast super twisting sliding mode control
dc.subjectGenetic algorithm
dc.subjectNon-salient pole PMSG
dc.subjectPLL
dc.subjectSensorless control
dc.subjectWind turbine
dc.subjectControl and Systems Engineering
dc.subjectInstrumentation
dc.subjectComputer Science Applications
dc.subjectElectrical and Electronic Engineering
dc.subjectApplied Mathematics
dc.titleGenetic algorithm optimized robust nonlinear observer for a wind turbine system based on permanent magnet synchronous generatoren
dc.contributor.institutionCentre for Engineering Research
dc.contributor.institutionCommunications and Intelligent Systems
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Engineering and Technology
dc.description.statusPeer reviewed
dc.date.embargoedUntil2023-02-10
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85125343308&partnerID=8YFLogxK
dc.relation.schoolSchool of Physics, Engineering & Computer Science
dcterms.dateAccepted2022-02-10
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1016/j.isatra.2022.02.004
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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