Time-Efficient Torque Shaping for Switched Reluctance Machines From Linear Space

被引:14
|
作者
Fang, Gaoliang [1 ]
Ye, Jin [2 ]
Xiao, Dianxun [1 ]
Xia, Zekun [1 ]
Wang, Xueqing [3 ]
Emadi, Ali [1 ]
机构
[1] McMaster Univ, McMaster Automot Resource Ctr MARC, Hamilton, ON L8P 0A6, Canada
[2] Univ Georgia, Intelligent Power Elect & Elect Machine Lab, Athens, GA 30602 USA
[3] Sichuan Univ, Coll Elect Engn, Chengdu 610065, Peoples R China
基金
加拿大自然科学与工程研究理事会;
关键词
Torque; Optimization; Torque measurement; Reluctance motors; Couplings; Aerospace electronics; Copper; Bi-objective optimization; linear space; switched reluctance machine (SRM); time efficient; torque mapping; torque ripple; RIPPLE; MOTOR; MINIMIZATION;
D O I
10.1109/TPEL.2021.3056287
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
In this article, a time-efficient torque shaping technique for the switched reluctance machines is proposed to reduce the torque ripples while optimizing the copper loss. To reduce the computational time for solving the time-consuming bi-objective optimization problem, an efficient and desirable linear space for the SRM is utilized through the torque mapping between the linear space and nonlinear space. The feasible regions and properties of this torque mapping for SRM are studied in detail first. Then, based on this torque mapping, the current reference is generated by solving a convex optimization problem in the linear space and later converted to the current reference in nonlinear space. Compared to the traditional method that only adopts nonlinear space, the proposed current reference generation method requires less than 10% of the time. Furthermore, the proposed method saves more than 70% time consumed by the traditional method for the bi-objective optimization problem but possesses the similar torque ripple reduction performance. The effectiveness of the proposed method has been verified by extensive simulation and experimental tests on a four-phase 5.1 kW 8/6 SRM setup.
引用
收藏
页码:9361 / 9371
页数:11
相关论文
共 50 条
  • [21] Torque production mechanism of switched reluctance machines with field modulation principle
    SUN YuHua
    ZHAO WenXiang
    JI JingHua
    LING ZhiJian
    CHEN YiFan
    BIANCHI Nicola
    Science China(Technological Sciences), 2023, 66 (09) : 2743 - 2754
  • [22] Radial Force Shaping for Acoustic Noise Reduction in Switched Reluctance Machines
    Callegaro, Alan Dorneles
    Bilgin, Berker
    Emadi, Ali
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2019, 34 (10) : 9866 - 9878
  • [23] Torque production mechanism of switched reluctance machines with field modulation principle
    YuHua Sun
    WenXiang Zhao
    JingHua Ji
    ZhiJian Ling
    YiFan Chen
    Nicola Bianchi
    Science China Technological Sciences, 2023, 66 : 2743 - 2754
  • [24] Torque production mechanism of switched reluctance machines with field modulation principle
    SUN YuHua
    ZHAO WenXiang
    JI JingHua
    LING ZhiJian
    CHEN YiFan
    BIANCHI Nicola
    Science China(Technological Sciences), 2023, (09) : 2743 - 2754
  • [25] Instantaneous torque error compensation based online torque sharing function for Switched reluctance Machines
    Genc, Ufuk
    Tekgun, Burak
    ALEXANDRIA ENGINEERING JOURNAL, 2023, 75 : 261 - 270
  • [26] Optimum Rotor Shaping for Torque Improvement of Double Stator Switched Reluctance Motor
    Tavakkoli, Mohammadali
    Moallem, Mehdi
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2014, 9 (04) : 1315 - 1323
  • [27] Model Predictive Torque Control of Switched Reluctance Machines With Torque Sharing Function and PWM Control Signals Based on Linear Polynomial Fitting
    Ge, Lefei
    Guo, Jixuan
    Gong, Chao
    Zhang, Guoqiang
    Ding, Xiaofeng
    Song, Shoujun
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2025, 40 (01) : 40 - 45
  • [28] Influence of Torque Sharing Function Parameters on Torque Ripple and Online Torque Error Compensation in Switched Reluctance Machines
    Guo, Xiaoqiang
    Deng, Huan
    Zhong, Rui
    Hua, Wei
    2022 25TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2022), 2022,
  • [29] Optimal Positioning Coordination for Multiple Linear Switched Reluctance Machines
    Pan, J. F.
    Qiu, Li
    Zhu, J.
    Cheng, Eric
    Zhang, Bo
    IEEE TRANSACTIONS ON MAGNETICS, 2017, 53 (11)
  • [30] Investigation of Torque Ripple in Switched Reluctance Machines with Errors in Current and Position Sensing
    Ma, Cong
    Mitra, Rakesh
    Pramod, Prerit
    Islam, Rakib
    2017 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2017, : 745 - 751