Electro-Hydraulic Power Steering System Modelling for Parameter Fault Detection Based on Model Reference Adaptive Frame

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dc.authorid Ozturk, Salih Baris/0000-0001-8322-4066
dc.authorwosid TUNCAY, Ramazan/AAI-6551-2020
dc.authorwosid Ozturk, Salih Baris/D-4216-2019
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 2024-10-15T20:21:36Z
dc.date.available 2024-10-15T20:21:36Z
dc.date.issued 2016
dc.department Okan University en_US
dc.department-temp [Kivanc, O. C.; Ozturk, S. B.; Tuncay, R. N.] Okan Univ, Dept Elect & Elect Engn, Istanbul, Turkey; [Kesici, E.; Yazi, C.] Hema Endustri AS, R&D Ctr, Istanbul, Turkey en_US
dc.description Ozturk, Salih Baris/0000-0001-8322-4066 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 co-simulation model. Simulation results demonstrate the feasibility and effectiveness of the proposed method. en_US
dc.description.sponsorship Scientific and Technological Research Council of Turkey (TUBITAK) [1120308] en_US
dc.description.sponsorship This work was supported by The Scientific and Technological Research Council of Turkey (TUBITAK) funded project (1120308). The authors would like to thank Asst. General Manager Aziz Asrak and R&D Design Manager Gokay Uymaz from HEMA Endustri A.S. and Research & Project Devevopment Director Prof. Orhan Alankus from Okan University for their support and encouragement. The authors would also thank Dr. Basar Ozkan for his help in reviewing the paper. en_US
dc.description.woscitationindex Conference Proceedings Citation Index - Science
dc.identifier.citationcount 3
dc.identifier.endpage 1814 en_US
dc.identifier.isbn 9781509034741
dc.identifier.issn 1553-572X
dc.identifier.startpage 1808 en_US
dc.identifier.uri https://hdl.handle.net/20.500.14517/6637
dc.identifier.wos WOS:000399031202014
dc.language.iso en
dc.publisher Ieee en_US
dc.relation.ispartof 42nd Annual Conference of the IEEE-Industrial-Electronics-Society (IECON) -- OCT 24-27, 2016 -- Florence, ITALY en_US
dc.relation.ispartofseries IEEE Industrial Electronics Society
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Model reference adaptive system (MRAS) en_US
dc.subject PMSM en_US
dc.subject electro-hydraulic power steering sytem (EHPS) en_US
dc.subject condition monitoring en_US
dc.subject fault diagnosis en_US
dc.subject fault tolerant en_US
dc.subject parameter estimation 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
dc.wos.citedbyCount 1

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