Three-Vector-Based Optimizing Selection Model Predictive Direct Dower Control for DFIM
编号:74 访问权限:仅限参会人 更新:2024-08-15 10:48:36 浏览:108次 口头报告

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摘要
In this paper, a three-vector based optimizing selection model predictive direct power control (TVOS-MPDPC) method is proposed for a doubly-fed induction motor (DFIM) in the all-electric ship application with fast duty cycle calculation. In the proposed method, the voltage and flux equations are redesigned to calculate the negative conjugate of the stator-side complex power. In this way, three optimal voltage vectors could be selected to eliminate power errors completely. As a result, only one prediction is necessary and the prediction time is reduced compared with the conventional finite-control-set model predictive control. The vector relationship diagram constructed by the selected voltage vector can be used to calculate the action time and duty cycle of each voltage. The simulation results show that the TVOS-MPDPC can greatly shorten the prediction time and significantly improve the steady-state and dynamic performance
关键词
Doubly-fed induction motor, direct power control, three vector, optimizing selection model predictive control.
报告人
Yizhou Sun
student Huazhong University of Science and Technology

稿件作者
Yizhou Sun Huazhong University of Science and Technology
Chun Gan Huazhong University of Science and Technology
Kai Ni Soochow University
Ronghai Qu Huazhong University of Science and Technology;State Key Laboratory of Advanced Electromagnetic Engineering and Technology
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重要日期
  • 会议日期

    11月06日

    2024

    11月08日

    2024

  • 09月15日 2024

    初稿截稿日期

  • 11月08日 2024

    注册截止日期

主办单位
Huazhong University of Science and Technology
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