Three-Vector-Based Optimizing Selection Model Predictive Direct Dower Control for DFIM
ID:74 View Protection:ATTENDEE Updated Time:2024-08-15 10:48:36 Hits:334 Oral Presentation

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Abstract
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
Keywords
Doubly-fed induction motor, direct power control, three vector, optimizing selection model predictive control.
Speaker
Yizhou Sun
student Huazhong University of Science and Technology

Submission Author
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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Important Date
  • Conference Date

    Nov 06

    2024

    to

    Nov 08

    2024

  • Sep 15 2024

    Draft paper submission deadline

  • Nov 08 2024

    Registration deadline

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Huazhong University of Science and Technology
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