A Novel Double Vector Model Predictive Control for Motor Drives Founded on Current Harmonic Extraction
ID:44 View Protection:ATTENDEE Updated Time:2025-05-06 14:51:11 Hits:172 Poster

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Abstract
The non-sinusoidal back-electromotive force (NSB-EMF) and the nonlinearity of the inverter give rise to significant periodic current ripple, which poses a substantial obstacle to the advancement of the conventional single-vector model predictive control (SV-MPC) for voltage source inverters (VSIs). To mitigate current harmonics, this paper puts forward a novel hybrid model predictive control approach for motor drives founded on current harmonic extraction. Firstly, a body vector is defined and selected through the SV-MPC method. Subsequently, a current harmonics extractor is crafted to extract harmonics. Based on the extracted harmonics, the second optimal voltage vector is selected as a branch vector. Eventually, the two selected voltage vectors (VVs) are combined. Moreover, a new scheme for calculating the duty cycle is devised. Simulation results verify the effectiveness of the proposed method.
 
Keywords
current harmonic extraction,hybrid model predictive control,duty cycle,periodic current ripple
Speaker
Xuan Wu
student Northwestern Polytechnical University

Submission Author
Xuan Wu Northwestern Polytechnical University
Yuanlin Wang Northwestern Polytechnical University
Nanjiang Wang Northwestern Polytechnical University
Huiqi Xing Northwestern Polytechnical University
Hexiao Wang Northwestern Polytechnical University
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Important Date
  • Conference Date

    Jun 05

    2025

    to

    Jun 01

    2026

  • May 30 2025

    Draft paper submission deadline

  • Jun 08 2025

    Registration deadline

Sponsored By
China Southeast University
IEEE Power Electronics Society
Jiangsu Association of Automation
Nanjing Section IE Chapter
Organized By
Southeast University