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

dc.authorscopusid 55780618800
dc.authorscopusid 14830500900
dc.authorscopusid 57202403035
dc.authorscopusid 55390101200
dc.authorscopusid 57193017395
dc.contributor.author Kivanc,O.C.
dc.contributor.author Ozturk,S.B.
dc.contributor.author Tuncay,R.N.
dc.contributor.author Kesici,E.
dc.contributor.author Yazi,C.
dc.date.accessioned 2024-05-25T12:32:07Z
dc.date.available 2024-05-25T12:32:07Z
dc.date.issued 2016
dc.department Okan University en_US
dc.department-temp Kivanc 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, Turkey en_US
dc.description IEEE Industrial Electronics Society (IES); Institute of Electrical and Electronics Engineers (IEEE) en_US
dc.description.abstract A 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.citationcount 2
dc.identifier.doi 10.1109/IECON.2016.7793788
dc.identifier.endpage 1814 en_US
dc.identifier.isbn 978-150903474-1
dc.identifier.scopus 2-s2.0-85010064594
dc.identifier.startpage 1808 en_US
dc.identifier.uri https://doi.org/10.1109/IECON.2016.7793788
dc.identifier.uri https://hdl.handle.net/20.500.14517/2347
dc.language.iso en
dc.publisher IEEE Computer Society en_US
dc.relation.ispartof IECON Proceedings (Industrial Electronics Conference) -- 42nd Conference of the Industrial Electronics Society, IECON 2016 -- 24 October 2016 through 27 October 2016 -- Florence -- 125546 en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 2
dc.subject Condition monitoring en_US
dc.subject Electro-hydraulic power steering sytem (EHPS) en_US
dc.subject Fault diagnosis en_US
dc.subject Fault tolerant en_US
dc.subject Model reference adaptive system (MRAS) en_US
dc.subject Parameter estimation en_US
dc.subject PMSM en_US
dc.subject Rotor flux estimation en_US
dc.subject Stator resistance estimation en_US
dc.subject Temperature estimation en_US
dc.title Electro-hydraulic power steering system modelling for parameter fault detection based on model reference adaptive frame en_US
dc.type Conference Object en_US

Files