Modulated Model Predictive Current Control of an Indirect Matrix Converter with Active Damping

被引:0
|
作者
Di, Zhengfei [1 ]
Rivera, M. [2 ]
Dan, Hanbing [3 ]
Tarisciotti, Luca [4 ]
Zhang, Kehan [1 ]
Xu, Demin [1 ]
Wheeler, Patrick [4 ]
机构
[1] Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian, Shaanxi, Peoples R China
[2] Univ Talca, Fac Engn, Curico, Chile
[3] Cent S Univ, Sch Infounat Sci & Engn, Changsha, Hunan, Peoples R China
[4] Univ Nottingham, Dept Elect & Elect Engn, Nottingham, England
关键词
Matrix converter; modulated model predictive control; unity input displacement power factor; active damping; TO-BACK CONVERTER; INVERTER; VOLTAGE; DRIVE;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A modulated model predictive control ((MPC)-P-2) scheme for an indirect matrix converter is proposed in this paper, including an active damping method to mitigate the input filter resonance. The control strategy allows the instantaneous power control and the output current control at the same time, operating at a fixed frequency. An optimal switching pattern is used to emulate the desired waveform quality features of space vector modulation and achieve zero-current switching operations. The active damping technique emulates a virtual resistor which damps the filter resonance. Simulation results present a good tracking to the output-current references, unity input displacement power factor, the low input-current distortions and a reduced common-mode voltage (CMV).
引用
收藏
页码:1313 / 1318
页数:6
相关论文
共 50 条
  • [1] Predictive Control of the Indirect Matrix Converter with Active Damping
    Rivera, M.
    Correa, P.
    Rodriguez, J.
    Lizama, I.
    Espinoza, J.
    [J]. 2009 IEEE 6TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE, VOLS 1-4, 2009, : 40 - +
  • [2] Fixed Frequency Model Predictive Control with Active Damping for an Indirect Matrix Converter
    Rivera, M.
    Amirbande, M.
    Vahedi, A.
    Tarisciotti, L.
    Wheeler, P.
    [J]. 2017 CHILEAN CONFERENCE ON ELECTRICAL, ELECTRONICS ENGINEERING, INFORMATION AND COMMUNICATION TECHNOLOGIES (CHILECON), 2017,
  • [3] Modulated Predictive Control for Indirect Matrix Converter
    Tarisciotti, Luca
    Lei, Jiaxing
    Formentini, Andrea
    Trentin, Andrew
    Zanchetta, Pericle
    Wheeler, Patrick
    Rivera, Marco
    [J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2017, 53 (05) : 4644 - 4654
  • [4] Model Predictive Control with Active Damping Capability for Induction Machine Driver based on Indirect Matrix Converter
    Gokdag, Mustafa
    Gulbudak, Ozan
    [J]. 2020 IEEE ELECTRIC POWER AND ENERGY CONFERENCE (EPEC), 2020,
  • [5] Indirect Model Predictive Current Control Techniques for a Direct Matrix Converter
    Rivera, M.
    Nasir, U.
    Tarisciotti, L.
    Wheeler, P.
    [J]. 2017 IEEE URUCON, 2017,
  • [6] Predictive Control with Active Damping in a Direct Matrix Converter
    Rivera, M.
    Correa, P.
    Rodriguez, J.
    Lizama, I.
    Espinoza, J.
    Rojas, C.
    [J]. 2009 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION, VOLS 1-6, 2009, : 2518 - +
  • [7] Indirect Model Predictive Control Strategy with Active Damping Implementation for a Direct Matrix Converter Operating at Fixed Switching Frequency
    Rivera, M.
    Dan, H.
    Tarisciotti, L.
    Wheeler, P.
    [J]. 2017 CHILEAN CONFERENCE ON ELECTRICAL, ELECTRONICS ENGINEERING, INFORMATION AND COMMUNICATION TECHNOLOGIES (CHILECON), 2017,
  • [8] Predictive Power Control of Matrix Converter With Active Damping Function
    Lei, Jiaxing
    Zhou, Bo
    Wei, Jiadan
    Bian, Jinliang
    Zhu, Yiqi
    Yu, Jiang
    Yang, Yang
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 63 (07) : 4550 - 4559
  • [9] Predictive current control for indirect matrix converter with reduced current ripple
    Keon Young Kim
    Yeongsu Bak
    Kyo-Beum Lee
    [J]. Journal of Power Electronics, 2020, 20 : 443 - 454
  • [10] Predictive current control for indirect matrix converter with reduced current ripple
    Kim, Keon Young
    Bak, Yeongsu
    Lee, Kyo-Beum
    [J]. JOURNAL OF POWER ELECTRONICS, 2020, 20 (02) : 443 - 454