Model Predictive Torque Control of SRMs with Current Reconstruction for Split-DC Power Converters
编号:157 访问权限:公开 更新:2023-06-13 18:01:47 浏览:168次 口头报告

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摘要
In this paper, a model predictive torque control method combining current reconstruction techniques for split-DC power converters is proposed for the torque ripple suppression of the switched reluctance machine (SRM). The proposed current reconstruction method does not require topology modification, and the phase currents are obtained through a combination of the collected neutral current and total currents according to the SRM operating region. This method does not require pulsation injection and therefore avoids the appearance of current distortion and loss of efficiency. Based on the reconstruction phase current, a new model predictive control (MPC) applied to split-DC converters is implemented to minimize the torque ripple of the SRM. Simulation results show that the proposed method can effectively reduce torque ripple with fewer power components and current sensors.
关键词
Model predictive control, Current reconstruction, Switched reluctance machine, Split-DC converter, Torque ripple
报告人
Lefei Ge
Northwestern Polytechnical University

Jixuan Guo
Northwestern Polytechnical University

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重要日期
  • 会议日期

    06月16日

    2023

    06月19日

    2023

  • 06月15日 2023

    报告提交截止日期

  • 07月02日 2023

    注册截止日期

主办单位
Huazhong University of Science and Technology, China
(IEEE PELS)
IEEE
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