RT-LAB Simulator Platform for Simulation of Switched Reluctance Machine

被引:0
|
作者
Chen, H. [1 ]
Gan, C. [1 ]
Xia, B. [1 ]
Rafajdus, Pavol [2 ]
机构
[1] China Univ Min & Technol, Xuzhou 221116, Peoples R China
[2] Univ Zilina, Zilina, Slovakia
来源
2012 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE) | 2012年
关键词
CIRCUIT MODEL; FLUX LINKAGE; MOTORS;
D O I
暂无
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
RT-LAB simulator platform for simulation of switched reluctance machine is described in the paper. Basic circuit block of OP5311 digital input, basic circuit block of OP5312 digital output and the photograph of voltage convert circuit are given. The hardware synchronized simulation models are setup includes period calculation of rotor position pulse signals in phase a, the simulation models of launching subsystem, start-subsystem of SRM system hardware synchronized simulation, the simulation models of RT-LAB digital input & output system and simulation models of RT-LAB analog input system. According to the three-phase 12/8 structure Switched Reluctance machine system, the Semi-physical simulation experiments is carried out depending on the established hardware synchronization simulation model using RT-LAB. The rotor speed response curve measured by the oscilloscope of SC subsystem, the measured phase current waveforms while the machine is at three different given rotor speed under the steady-state operation and the speed rotor response curves of sudden load increasing and sudden load shedding are also given.
引用
收藏
页码:737 / 741
页数:5
相关论文
共 50 条
  • [41] A Framework for Multiple Objective Co-Optimization of Switched Reluctance Machine Design and Control
    Burress, Timothy
    Tolbert, Leon M.
    2021 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE & EXPO (ITEC), 2021,
  • [42] Electromagnetic Analysis of Flux Characteristics of Double-Sided Switched Reluctance Linear Machine
    Chen, H.
    Yan, W.
    Wang, Q.
    IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY, 2016, 26 (04)
  • [43] Segmented Rotor Mutually Coupled Switched Reluctance Machine for Low Torque Ripple Applications
    Mehta, Siddharth
    Kabir, Md Ashfanoor
    Pramod, Prerit
    Husain, Iqbal
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2021, 57 (04) : 3582 - 3594
  • [44] Smooth Low-Speed Sensorless Control of Switched Reluctance Machine With Heavy Load
    Song, Shoujun
    Zhong, Jixi
    Yang, Chenyi
    Bao, Chong
    Ge, Lefei
    Fu, Zhaoyang
    Ma, Ruiqing
    Liu, Weiguo
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2024, 71 (04) : 3361 - 3370
  • [45] Synthesis of Advanced Switched Reluctance Machine Topologies Using Microscopic Force Density Analysis
    Jiang, Wei
    Fahimi, Babak
    2009 IEEE INTERNATIONAL ELECTRIC MACHINES & DRIVES CONFERENCE, VOLS 1-3, 2009, : 993 - 998
  • [46] Novel Switched Reluctance Machine Synthesis Algorithm Based on Voltage PAM Control Strategy for Machine Design Optimization
    Deihimi, Ali
    2009 INTERNATIONAL CONFERENCE ON POWER ENGINEERING, ENERGY AND ELECTRICAL DRIVES, 2009, : 606 - 611
  • [47] High-speed switched reluctance machine: natural frequency calculation and acoustic noise prediction
    Yasa, Yusuf
    Sozer, Yilmaz
    Garip, Muhammet
    TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2018, 26 (02) : 999 - 1010
  • [48] Analysis of vibration reduction level in an 8/6 switched reluctance machine by active vibration cancellation
    Liu, Xu
    Pan, Zai-ping
    Zhu, Z. Q.
    JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE C-COMPUTERS & ELECTRONICS, 2010, 11 (10): : 808 - 816
  • [49] Introductory assessment of a novel high-torque density axial flux switched reluctance machine
    Ebrahimi, Yousef
    Feyzi, Mohammad Reza
    IET ELECTRIC POWER APPLICATIONS, 2017, 11 (07) : 1315 - 1323
  • [50] Predictive current control of a switched reluctance machine in the direct-drive manipulator of cloud robotics
    Li, Bingchu
    Ling, Xiao
    Huang, Yixiang
    Gong, Liang
    Liu, Chengliang
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2017, 20 (04): : 3037 - 3049