1 Ocak 2016 Konferans bildirisi Açık Erişim

Kivanc, O. C.; Ozturk, S. B.; Tuncay, R. N.; Kesici, E.; Yazi, C.

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        "affiliation": "Okan Univ, Dept Elect & Elect Engn, Istanbul, Turkey", 
        "name": "Kivanc, O. C."
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      {
        "affiliation": "Okan Univ, Dept Elect & Elect Engn, Istanbul, Turkey", 
        "name": "Ozturk, S. B."
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      {
        "affiliation": "Okan Univ, Dept Elect & Elect Engn, Istanbul, Turkey", 
        "name": "Tuncay, R. N."
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      {
        "affiliation": "Hema Endustri AS, R&D Ctr, Istanbul, Turkey", 
        "name": "Kesici, E."
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      {
        "affiliation": "Hema Endustri AS, R&D Ctr, Istanbul, Turkey", 
        "name": "Yazi, C."
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    "description": "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.", 
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      "title": "PROCEEDINGS OF THE IECON 2016 - 42ND ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY"
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    "title": "Electro-Hydraulic Power Steering System Modelling for Parameter Fault Detection Based on Model Reference Adaptive Frame"
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