Electro-hydraulic power steering system modelling for parameter fault detection based on model reference adaptive frame

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dc.authorscopusid55780618800
dc.authorscopusid14830500900
dc.authorscopusid57202403035
dc.authorscopusid55390101200
dc.authorscopusid57193017395
dc.contributor.authorKivanc,O.C.
dc.contributor.authorOzturk,S.B.
dc.contributor.authorTuncay,R.N.
dc.contributor.authorKesici,E.
dc.contributor.authorYazi,C.
dc.date.accessioned2024-05-25T12:32:07Z
dc.date.available2024-05-25T12:32:07Z
dc.date.issued2016
dc.departmentOkan Universityen_US
dc.department-tempKivanc O.C., Okan University, Department of Electrical and Electronics Engineering, Istanbul, Turkey; Ozturk S.B., Okan University, Department of Electrical and Electronics Engineering, Istanbul, Turkey; Tuncay R.N., Okan University, Department of Electrical and Electronics Engineering, Istanbul, Turkey; Kesici E., HEMA ENDUSTRI A.S., R and D Center, Istanbul, Turkey; Yazi C., HEMA ENDUSTRI A.S., R and D Center, Istanbul, Turkeyen_US
dc.descriptionIEEE Industrial Electronics Society (IES); Institute of Electrical and Electronics Engineers (IEEE)en_US
dc.description.abstractA simple and efficient fault detection and parameter monitoring algorithm for electro-hydraulic power steering (EHPS) system is proposed using model reference adaptive system (MRAS) without any additional sensor. In a faulty situation where the hydraulic system is disabled, assisted power is provided by an electric motor. Therefore, in low speed maneuvers, during sudden direction changes and parking, some parameters of an electric motor in EHPS are affected. These changes threaten the vehicle's driving reliability and performance of EHPS. In this study, an EHPS system with rotor flux estimation based adaptive driver torque control principle has been presented. The motor winding temperature is obtained for monitoring purpose with the help of MRAS stator resistance estimation. The proposed parameter estimation method for EHPS has been simulated by using AMESim and MATLAB/Simulink cosimulation model. Simulation results demonstrate the feasibility and effectiveness of the proposed method. © 2016 IEEE.en_US
dc.identifier.citation2
dc.identifier.doi10.1109/IECON.2016.7793788
dc.identifier.endpage1814en_US
dc.identifier.isbn978-150903474-1
dc.identifier.scopus2-s2.0-85010064594
dc.identifier.startpage1808en_US
dc.identifier.urihttps://doi.org/10.1109/IECON.2016.7793788
dc.identifier.urihttps://hdl.handle.net/20.500.14517/2347
dc.language.isoen
dc.publisherIEEE Computer Societyen_US
dc.relation.ispartofIECON Proceedings (Industrial Electronics Conference) -- 42nd Conference of the Industrial Electronics Society, IECON 2016 -- 24 October 2016 through 27 October 2016 -- Florence -- 125546en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCondition monitoringen_US
dc.subjectElectro-hydraulic power steering sytem (EHPS)en_US
dc.subjectFault diagnosisen_US
dc.subjectFault toleranten_US
dc.subjectModel reference adaptive system (MRAS)en_US
dc.subjectParameter estimationen_US
dc.subjectPMSMen_US
dc.subjectRotor flux estimationen_US
dc.subjectStator resistance estimationen_US
dc.subjectTemperature estimationen_US
dc.titleElectro-hydraulic power steering system modelling for parameter fault detection based on model reference adaptive frameen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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