High-Fidelity Magnetic Characterization and Analytical Model Development for Switched Reluctance Machines

被引:24
|
作者
Nasirian, Vahidreza [1 ,2 ]
Kaboli, Shahriyar [1 ]
Davoudi, Ali [2 ]
Moayedi, Seyedali [2 ]
机构
[1] Sharif Univ Technol, Power Elect & Dr Lab, Tehran, Iran
[2] Univ Texas Arlington, Renewable Energy & Vehicular Technol Lab, Arlington, TX 76011 USA
关键词
Curve fitting; magnetic characterization; switched reluctance machine (SRM); TORQUE CONTROL; MOTOR; GENERATOR; INDUCTANCE; SIMULATION;
D O I
10.1109/TMAG.2012.2222427
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper proposes a new experimental procedure for magnetic characterization of switched reluctance machines. In the existing methods, phase voltage and current data are captured and further processed to find the flux linkage. Conventionally, assuming zero initial flux value, the flux linkage can be found by integrating the corresponding voltage term. However, the initial flux value is usually unknown, e.g., it can be nonzero when the current is zero due to the residual flux effect, and, thus, imposes error in magnetic characterization. The proposed method addresses this issue by considering an additional equation in steady state. This method injects a low-frequency sinusoidal current to one of the phase windings when the rotor is blocked at a given position. Since the phase is excited by a sinusoidal current, the averaged flux over an excitation cycle is zero, even though the residual flux and core loss exist. This additional equation together with the voltage integration make it possible to avoid errors associated with the core nonidealities and accurately solve for the magnetic flux. Furthermore, an analytical expression is proposed that precisely fits the magnetic curves. The proposed characterization methodology and analytical model are verified using the experimental results from a 3-phase 12/8 switched reluctance machine.
引用
收藏
页码:1505 / 1515
页数:11
相关论文
共 50 条
  • [31] Development of a Low-Cost, High-Fidelity, Reusable Model to Simulate Clamshell Thoracotomy
    Clifford, Ethan
    Stourton, Frederick
    Willers, Johann
    Colucci, Gianluca
    SURGICAL INNOVATION, 2023, 30 (06) : 739 - 744
  • [32] Double-Stator Switched Reluctance Machines (DSSRM): Fundamentals and Magnetic Force Analysis
    Abbasian, Mohammadali
    Moallem, Mehdi
    Fahimi, Babak
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 2010, 25 (03) : 589 - 597
  • [33] A Review of High Power Density Switched Reluctance Machines Suitable for Automotive Applications
    Gao, Y.
    McCulloch, M. D.
    2012 XXTH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES (ICEM), 2012, : 2610 - 2614
  • [34] A simple magnetic equivalent circuit model for switched reluctance machine
    Vahedi, Payam
    Ganji, Babak
    ELECTRICAL ENGINEERING, 2021, 103 (02) : 1307 - 1320
  • [35] Fast Analytical Determination of Aligned and Unaligned Flux Linkage in Switched Reluctance Motors Based on a Magnetic Circuit Model
    Mao, Shang-Hsun
    Dorrell, David
    Tsai, Mi-Ching
    IEEE TRANSACTIONS ON MAGNETICS, 2009, 45 (07) : 2935 - 2942
  • [36] Real-Time Emulation of Switched Reluctance Machines via Magnetic Equivalent Circuits
    Fleming, Fletcher E.
    Edrington, Chris S.
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 63 (06) : 3366 - 3376
  • [37] Development of a High-Speed High-Fidelity SCADA Simulation Framework
    Wright, Shelton R.
    Cannan, Logan
    Morris, Thomas H.
    SOUTHEASTCON 2023, 2023, : 889 - 894
  • [38] Switched reluctance machine model using inverse inductance characterization
    Loop, BP
    Sudhoff, SB
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2003, 39 (03) : 743 - 751
  • [39] Development and Validation of a High-Fidelity Porcine Laryngeal Surgical Simulator
    Dedmon, Matthew M.
    Paddle, Paul M.
    Phillips, Jeananne
    Kobayashi, Leo
    Franco, Ramon A.
    Song, Phillip C.
    OTOLARYNGOLOGY-HEAD AND NECK SURGERY, 2015, 153 (03) : 420 - 426
  • [40] Design, Development, and Validation of a High-Fidelity "Ganglion Cyst" Model for Cadaveric Hand Surgery Training
    Rajaratnam, Vaikunthan
    Gan, Gerrard
    Ahmad, Amir A.
    Kuruvilla, Thommen T.
    Shanmugam, Bharathi M.
    Pueblos, Rebosura C. K.
    Tong, P. Yein
    JOURNAL OF HAND AND MICROSURGERY, 2022, 14 (01) : 58 - 63