Analytical Method for Magnetic Field and Electromagnetic Performances in Switched Reluctance Machines

被引:8
|
作者
Jing, Libing [2 ]
Cheng, Jia [2 ]
Ben, Tong [1 ]
机构
[1] China Three Gorges Univ, Hubei Microgrid Engn Technol Res Ctr, Yichang, Peoples R China
[2] China Three Gorges Univ, Coll Elect Engn & New Energy, Yichang, Peoples R China
基金
中国国家自然科学基金;
关键词
Magnetic field; Analytical method; Electromagnetic torque; SRM; FEM; TORQUE RIPPLE; MOTOR; SRM;
D O I
10.1007/s42835-019-00167-0
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 presents a new analytical method for the computation of magnetic field distributions and electromagnetic performances in switched reluctance machines (SRM). The proposed model is sufficiently general to be used with any number of stator slots and rotor poles with electrically excited. Due to the inherent nonlinear characteristics of SRM, the conventional analytic model has a limited accuracy which does not take into account the saturation. In order to calculate the accuracy and consider the local magnetic saturation on the stator and rotor teeth, the proposed method is based on the resolution of 2-D Laplace's and Poisson's equations in polar coordinates by the separation of variables technique. The solution region is divided into three types of regular subdomains, viz. air gap, stator slots and rotor slots. Magnetic field distributions, flux linkage, self-inductance, mutual inductance and static electromagnetic torque computed with the proposed analytical method are validated through finite-element method.
引用
收藏
页码:1625 / 1635
页数:11
相关论文
共 50 条
  • [31] Bipolar switched reluctance machines
    Edrington, CS
    Fahimi, B
    2004 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1 AND 2, 2004, : 1351 - 1358
  • [32] Analytical Method for Optimal Control of Switched Reluctance Generator
    Kumawat, Gautam
    Shah, Vaibhav
    Payami, Saifullah
    2022 IEEE 10TH POWER INDIA INTERNATIONAL CONFERENCE, PIICON, 2022,
  • [33] Analytical Modeling of Nonlinear Radial Electromagnetic Force in Switched Reluctance Motors
    Hu S.
    Zuo S.
    Liu M.
    Zuo, Shuguang (sgzuo@tongji.edu.cn), 1600, China Machine Press (35): : 1189 - 1197
  • [34] Analytical Modeling of Rotor Radial Electromagnetic Force in Switched Reluctance Motor
    Wang F.
    Wu Z.
    Li Y.
    Wang Y.
    Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2019, 34 (05): : 934 - 945
  • [35] Electromagnetic Modeling Techniques for Switched Reluctance Machines: State-of-the-Art Review
    Watthewaduge, Gayan
    Sayed, Ehab
    Emadi, Ali
    Bilgin, Berker
    IEEE OPEN JOURNAL OF THE INDUSTRIAL ELECTRONICS SOCIETY, 2020, 1 : 218 - 234
  • [36] Accurate Measurement and Detailed Evaluation of Static Electromagnetic Characteristics of Switched Reluctance Machines
    Song, Shoujun
    Ge, Lefei
    Ma, Shaojie
    Zhang, Man
    Wang, Lusheng
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2015, 64 (03) : 704 - 714
  • [37] Preliminary Investigation of Electromagnetic and Thermal Performance of Closed Stator Switched Reluctance Machines
    Shuai, Wang
    Rong, Su
    Jet, Tseng King
    Viswanathan, Vaiyapuri
    Gupta, Amit
    2016 IEEE 2ND ANNUAL SOUTHERN POWER ELECTRONICS CONFERENCE (SPEC), 2016,
  • [38] Finite Element Based Analytical Model for Controller Development of Switched Reluctance Machines
    Mikail, Rajib
    Husain, Iqbal
    Islam, Mohammad
    2013 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2013, : 920 - 925
  • [39] Analytical and Experimental Investigations of Magnetostriction Influence on Strain Measurement in Switched Reluctance Machines
    Cai, Yifei
    Sobue, Haruki
    Wiguna, Candra Adi
    Chiba, Akira
    Senda, Kunihiro
    Yoshizaki, Souichiro
    2021 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2021, : 4436 - 4442
  • [40] Non-linear Magnetic Characteristics Modeling for Switched Reluctance Machines
    Banerjee, Rajdeep
    Sensarma, Parthasarathi
    2018 IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, DRIVES AND ENERGY SYSTEMS (PEDES), 2018,