Sürdürülebilir Kalkınma Amaçları

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  • MakaleAçık Erişim2018Scopus SJRQ3
    Design, analysis, and control of in-wheel switched reluctance motor for electric vehicles

    Omaç, Z.; Polat, M.; Öksüztepe, E.; Yıldırım, M.; Yakut, O.; Eren, H.; Kaya, M.; Kürüm, H.

    Estimation of dimension parameters for an electric machine has great importance before assembling on production line. As a matter of fact, researchers should find optimum solution once they decide to perform analytical design of an electric machine. In this study, we have tried to find dimensional and electrical parameters via derived mathematical equations for in-wheel switched reluctance motor (IW-SRM), and the motor has been manufactured. Moreover, an experimental setup is designed, and the speed and torque control of IW-SRM is carried out. The motor tests including both standstill and running test are performed by using the experimental setup. Initial size parameters are intuitively provided as motor analysis is conducted by software package. Then, numerous trials are examined to get optimum results. In fact, this motor is employed by an electric vehicle whose design is ongoing. Therefore, optimum motor parameters for required base speed and torque have been estimated by solving generated equations for IW-SRM with 18/12 poles via MATLAB. Considering parameters estimated, analysis of IW-SRM has been performed by Ansoft Maxwell 15.0 Software Package based on 3D finite element method (3D-FEM). Consequently, the estimated parameters have been validated by the results of Maxwell 3D FEM. Experimental results of the motor manufactured are obtained via the motor driver designed; also have been validated by Maxwell 3D.

    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    AtıfScopus14WoS15OpenAlex24
    ScopusWeb of Scienceİncele
  • MakaleAçık Erişim2016Scopus SJRQ3
    Switched reluctance motor control without position sensor by using data obtained from finite element method in artificial neural network

    Polat, Mehmet; Oksuztepe, Eyyup; Kurum, Hasan

    Switched reluctance motors (SRMs) require sensitive rotor information in order to work sensitively and properly and especially for the commutation of phase currents. Position information is generally acquired from a sensor which is generally placed into the stator or connected to the rotor. However, sensors have disadvantages in terms of cost, safety, complexity and volume. In order to remove these disadvantages, recent studies concentrate on SRMs working without a position sensor. In this study control methods working without a position sensor are examined, the applied method is presented comprehensively. The education and test data of the artificial neural network is not obtained from simulation or experimental results; it is obtained from magnetic analyses carried out in ANSYS 10 and the results are used in position speed and current sensorless control of SRM. The validity of proposed method is demonstrated by using DS 1103.

    AtıfWoS8OpenAlex11
    Web of Scienceİncele
  • MakaleAçık Erişim2016Scopus SJRQ2
    Sensorless field oriented control of nonsinusoidal flux-distribution permanent magnet synchronous motor with a FEM based ANN observer

    Öksüztepe, Eyyup; Omaç, Zeki; Polat, Mehmet; Çelik, Hakan; Selçuk, Ahmet Hakan; Kürüm, Hasan

  • MakaleÖn baskısı açık2014Scopus SJRQ3
    Sensorless vector control of PMSM with non-sinusoidal flux using observer based on FEM

    Oksuztepe, Eyyup; Omac, Zeki; Kurum, Hasan

    Back electromotive force method has been widely used in the position and speed sensorless control of permanent magnet synchronous motors. In this method, it is supposed that the back electromotive forces induced on the stator windings by the rotor permanent magnets are sinusoidal. This assumption causes errors in the estimation of speed and position. In this paper, an observer using the stator winding linkage flux model obtained by using finite element method for position and speed sensorless field-oriented control of permanent magnet motor is proposed. The validity of the proposed method is demonstrated using DS 1104.

    AtıfWoS11OpenAlex12
    Web of Scienceİncele
  • BildiriYalnız künye2014
    DESIGNING IN-WHEEL SWITCHED RELUCTANCE MOTOR FOR ELECTRIC VEHICLES

    Yildirim, M.; Polat, M.; Öksüztepe, E.; Omaç, Z.; Yakut, O.; Eren, H.; Kaya, M.; Kürüm, H.

    Estimation of dimension parameters for an electrical machine has great importance before manufacturing. For this reason, analytical design should be performed in an optimum form. While motor analysis is accomplished by package programs, initial size parameters are intutivily provided and then various trials are examined to get optimum results. In this study, we are trying to find dimensional and electrical parameters generating mathematical equations in analytic approaches for In-Wheel Switched Reluctance Motor (IW-SRM), which will be employed by Electric Vehicle (EV). Therefore, optimum motor parameters for required speed and torque have been estimated by solving generated equations for in-wheel SRM with 18/12 poles via MATLAB. Using the parameters, analysis of in-wheel SRM has been carried out 3D Finite Element Method (FEM) by Ansoft Maxwell 15.0 Package Software. Consequently, the accuracy of the estimated parameters has been validated by the results of Maxwell 3D FEM.

    AtıfWoS10
    Web of Scienceİncele
  • BildiriYalnız künye2014
    Estimation of Confidence Regions and Severity of Undefined Faults in Driving using Synthetic Disturbance Signals

    Yakut, O.; Eren, H.; Kaya, M.; Oksuztepe, E.; Polat, M.; Omac, Z.; Kurum, H.; Celenk, M.

    In this study, we aim to determine fault severity in an electric car that may be caused by yawing due to such disturbances as non-uniform road pavements, in-wheel bearing clearance, suspension system, driver under Influence of alcohol (DUI), and tire deformation. The major research contribution herein is to alert drivers about an unforeseen situation on steering wheel whether it refers to a severe fault or contemporary states. In a sense, the undertaken study serves as a state of the art driving assistant system operating under unsteady conditions. We determine the fault severity of the system via classifying it into specified confidence regions by estimating the deviation from a monotonous straight route for any unstable situation. In this way, the proposed system informs driver to gain an insight about the severity level of arising problematic scenario. In order to realize the classification of confidence regions, we initially obtain the overall dynamic model of the system. Then, disturbance functions with different amplitudes and frequencies are characterized and included in the dynamic system specification. Here, the confidence regions have been constructed as to respective fault severity level of the car through the system response. Trajectory of vehicle in dynamic driving conditions considering these perturbations and noises are interrelated through the Kalman filtering to predict deviations from the desired trajectory and the prediction error. In simulation scenarios, Dynamic Time Warping (DTW) is employed to obtain deviation from ground truth under different noise functions, and results are sketched graphically assigning rate of fault severity into specified confidence regions. Initially, we have modeled the proposed system considering an electric car although the idea can readily be generalized for all cars with four tires. Presently, fault severity with classified confidence regions has been investigated under a simple car model.

  • MakaleYalnız künye2013
    Dynamic Risk Modeling for Safe Car Parking in Climbing over Urban Curbs

    Yakut, O.; Eren, H.; Kaya, M.; Oksuztepe, E.; Polat, M.; Omac, Z.; Bekler, D.; Kurum, H.; Celenk, M.

  • BildiriYalnız künye2013
    EXAMINATION OF RADIAL FORCE WITH FINITE ELEMENT METHOD IN SWITCHED RELUCTANCE MOTOR

    Polat, Mehmet; Öksüztepe, Eyyup; Omaç, Zeki; Yildirim, Merve; Kürüm, Hasan

    The aim of this study is computation of radial forces shown as one of the main and important reasons of noise in Switched Reluctance Motor (SRM). In this paper, radial forces in saturation and unsaturation regions of a standart submersible pump type 8/6-pole SRM have been calculated and their changes have been obtained. ANSYS 10.0 package program which makes a solution with Finite Element Method (FEM) has been used for computation of radial forces. After geometric shapes are given, radial forces have been calculated from unaligned position of rotor towards aligned position with angle of one degree according to different current values.

Tam Kayıt
AlanDeğerDil
dc.date.accessioned2026-10-28T14:58:51.244919694Z
dc.date.available2026-10-28T14:58:51.244919694Z
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/munzur/4068
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleOksuztepe, Eyyup
person.affiliation.nameTunceli Univ, Dept Comp Engn, Fac Engn, TR-62000 Tunceli, Turkey
person.familyNameOksuztepe
person.givenNameEyyup
person.identifier.orcid0000-0002-5446-4308
person.identifier.wosV-8236-2018
person.name.variantOksuztepe, E.
person.statusunverified