Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/395

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  • Conference Object
    Citation - WoS: 1
    Citation - Scopus: 5
    Sliding Mode Control of a Switched Reluctance Motor Drive With Four-Switch Bi-Directional DC-DC Converter for Torque Ripple Minimization
    (Institute of Electrical and Electronics Engineers Inc., 2020-09) Ates, Ertugrul; Tekgun, Burak; Ablay, Günyaz
    In this paper, a method to drive switched reluctance motors (SRM) with a modular four-switch bidirectional DC-DC converter and an H-bridge is proposed. The DC-DC converter operates as a buck or a boost converter with constant frequency to control each phase current while the H-bridge inverter switches only twice in a period to adjust the polarity of the phase voltage. Sliding mode control is designed to have fast and robust current control in the DC-DC converter. The sliding surface equation which is derived for all operation modes including buck and boost modes in motoring and regenerating conditions is defined with the estimated inductor current. The proposed drive system eliminates the bulk DC-capacitors and allows one to adjust the bus voltage individually for all phases. Moreover, the proposed system topology works with only one high-frequency switching device in the DC-DC conversion stage rather than two in conventional drives which provides a simpler current control and reduced switching losses. © 2020 Elsevier B.V., All rights reserved.
  • Conference Object
    Citation - Scopus: 11
    Design Optimization of an Outer Rotor PMSM for a Drive Cycle Using an Improved Mode Algorithm for a Lightweight Racing Vehicle
    (Institute of Electrical and Electronics Engineers Inc., 2020-10-05) Coşdu, Muhammed Muhsin; Hacan, Ahmet Furkan; Tekgun, Burak
    Hub motors are widely used for light-weight electric drives. The aim of this paper is to design a highly efficient out-runner permanent magnet synchronous motor (PMSM) for a specific drive cycle in order to use it in an electro mobile contest called the 'Efficiency Challenge'. A multiobjective differential evaluation (MODE) algorithm is used to obtain a variety of different design options. The MODE algorithm is altered to incur less computational cost and yield better-distributed results in a comparison with traditional MODE. The alteration is performed in five different aspects: Pareto Front, Selection Algorithm, Population Size, Scaling Factor, and Rectification. The objectives for differential evaluation optimization are minimizing the motor mass and maximizing efficiency for the target drive cycle. The voltage limit and the torque ripple are defined as constraints. The optimization algorithm is written in MATLAB and the finite element analysis (FEA) is conducted in ANSYS/Maxwell 2D. The modified MODE algorithm is optimized for the PMSM with 100 generations and 3282 candidate designs. A well-distributed Pareto optimal solution set is obtained, and a suitable design is selected to be manufactured. © 2022 Elsevier B.V., All rights reserved.