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
  • [1] Nonlinear Analytical Prediction of Magnetic Field and Electromagnetic Performances in Switched Reluctance Machines
    Djelloul-Khedda, Zakarya
    Boughrara, Kamel
    Dubas, Frederic
    Ibtiouen, Rachid
    IEEE TRANSACTIONS ON MAGNETICS, 2017, 53 (07)
  • [2] Analytical Method for Magnetic Field and Electromagnetic Performances in Switched Reluctance Machines
    Jing, Libing
    Cheng, Jia
    Ben, Tong
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2019, 14 (04) : 1625 - 1635
  • [3] An Enhanced Analytical Calculation of the Phase Inductance of Switched Reluctance Machines
    Li, Sufei
    Zhang, Shen
    Gong, Cheng
    Habetler, Thomas G.
    Harley, Ronald G.
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2019, 55 (02) : 1392 - 1407
  • [4] High-Fidelity Flash Lidar Model Development
    Hines, Glenn D.
    Pierrottet, Diego F.
    Amzajerdian, Farzin
    LASER RADAR TECHNOLOGY AND APPLICATIONS XIX; AND ATMOSPHERIC PROPAGATION XI, 2014, 9080
  • [5] A magnetic circuit model with coupling effect for salient switched reluctance machines
    Yu, Qiang
    Tian, Lisi
    Wang, Xuesong
    Cheng, Yuhu
    INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, 2018, 57 (01) : 123 - 132
  • [6] Analytical Prediction of Torque of Switched Reluctance Machines Considering Nonlinear Characteristics
    Hua, Hao
    Hua, Wei
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 69 (01) : 190 - 201
  • [7] Torque analytical model of switched reluctance motor considering magnetic saturation
    Hao, Yi
    Wang, Xilian
    Cui, Ruizhen
    Fang, Xinyu
    Zhang, Wei
    Li, Yanhua
    Cheng, Di
    IET ELECTRIC POWER APPLICATIONS, 2020, 14 (07) : 1148 - 1153
  • [8] Analytical Calculation of the Phase Inductance Profile of Switched Reluctance Machines
    Li, Sufei
    Zhang, Shen
    Dang, Jie
    Habetler, Thomas G.
    Harley, Ronald G.
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 2019, 34 (03) : 1149 - 1163
  • [9] Analytical Modelling Approach for Switched Reluctance Machines with Deep Saturation
    Ding, Xiaofeng
    Rashed, Mohamed
    Hill, Christopher Ian
    Bozhko, Serhiy
    2016 INTERNATIONAL CONFERENCE ON ELECTRICAL SYSTEMS FOR AIRCRAFT, RAILWAY, SHIP PROPULSION AND ROAD VEHICLES & INTERNATIONAL TRANSPORTATION ELECTRIFICATION CONFERENCE (ESARS-ITEC), 2016,
  • [10] An improved analytical model for the switched reluctance motor
    Essah, DN
    Sudhoff, SD
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 2003, 18 (03) : 349 - 356