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dc.contributor.authorAssia, Hamza
dc.contributor.authorMerabet Boulouiha , Houari
dc.contributor.authorChicaiza, William David
dc.contributor.authorEscano, Juan Manuel
dc.contributor.authorKacimi, Abderrahmane
dc.contributor.authorMartinez-Ramos, Jose Luis
dc.contributor.authorDenai, Mouloud
dc.date.accessioned2023-09-29T11:30:04Z
dc.date.available2023-09-29T11:30:04Z
dc.date.issued2023-07-18
dc.identifier.citationAssia , H , Merabet Boulouiha , H , Chicaiza , W D , Escano , J M , Kacimi , A , Martinez-Ramos , J L & Denai , M 2023 , ' Wind Turbine Active Fault Tolerant Control Based on Backstepping Active Disturbance Rejection Control and a Neurofuzzy Detector ' , Energies , vol. 16 , no. 14 , 5455 , pp. 1-22 . https://doi.org/10.3390/en16145455
dc.identifier.issn1996-1073
dc.identifier.urihttp://hdl.handle.net/2299/26788
dc.description© 2023 The Author(s). Licensee MDPI, Basel, Switzerland. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/
dc.description.abstractWind energy conversion systems have become an important part of renewable energy history due to their accessibility and cost-effectiveness. Offshore wind farms are seen as the future of wind energy, but they can be very expensive to maintain if faults occur. To achieve a reliable and consistent performance, modern wind turbines require advanced fault detection and diagnosis methods. The current research introduces a proposed active fault-tolerant control (AFTC) system that uses backstepping active disturbance rejection theory (BADRC) and an adaptive neurofuzzy system (ANFIS) detector in combination with principal component analysis (PCA) to compensate for system disturbances and maintain performance even when a generator actuator fault occurs. The simulation outcomes demonstrate that the suggested method successfully addresses the actuator generator torque failure problem by isolating the faulty actuator, providing a reliable and robust solution to prevent further damage. The neurofuzzy detector demonstrates outstanding performance in detecting false data in torque, achieving a precision of (Formula presented.) for real data and (Formula presented.) for false data. With a recall of (Formula presented.), no false negatives were observed. The overall accuracy of (Formula presented.) highlights the detector’s ability to reliably classify data as true or false. These findings underscore the robustness of the detector in detecting false data, ensuring the accuracy and reliability of the application presented. Overall, the study concludes that BADRC and ANFIS detection and isolation can improve the reliability of offshore wind farms and address the issue of actuator generator torque failure.en
dc.format.extent22
dc.format.extent4187948
dc.language.isoeng
dc.relation.ispartofEnergies
dc.subjectactive fault-tolerant control; backstepping; active disturbance rejection control; adaptive neurofuzzy inference system; principal component analysis
dc.subjectadaptive neurofuzzy inference system
dc.subjectactive disturbance rejection control
dc.subjectactive fault-tolerant control
dc.subjectbackstepping
dc.subjectprincipal component analysis
dc.subjectControl and Optimization
dc.subjectEnergy (miscellaneous)
dc.subjectEngineering (miscellaneous)
dc.subjectEnergy Engineering and Power Technology
dc.subjectElectrical and Electronic Engineering
dc.subjectFuel Technology
dc.subjectRenewable Energy, Sustainability and the Environment
dc.titleWind Turbine Active Fault Tolerant Control Based on Backstepping Active Disturbance Rejection Control and a Neurofuzzy Detectoren
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.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85166236137&partnerID=8YFLogxK
rioxxterms.versionofrecord10.3390/en16145455
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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