Model-Free Predictive Current Control for Three-Phase AC/DC Converters Based on Hybrid SVM to Minimize Current Harmonics
ID:34 View Protection:PRIVATE Updated Time:2023-06-17 13:11:06 Hits:1067 Oral Presentation

Start Time:2023-06-18 14:40(Asia/Shanghai)

Duration:20min

Session:S Oral Session » S4Oral Session 7 & Oral Session 10

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Abstract
Model-based predictive current control based on space vector modulation (SVM-MBPCC) is widely used in threephase pulse-width-modulated (PWM) AC/DC converters because of its good steady-state performance. However, the conventional SVM-MBPCC method depends on the accuracy of system model and parameters. Recently, model-free predictive current control based on SVM (SVM-MFPCC) has been proposed to solve the problem of parameter robustness. However, its steady-state performance is inferior to that of SVM-MBPCC with accurate parameters. This paper combines the conventional SVM-MFPCC with a hybrid SVM method (HSVM-MFPCC), which inherits the strong parameter robustness and reduces current harmonics significantly by selecting the optimal vector sequence of SVM online. The simulated results indicate that the proposed HSVMMFPCC can reduce the current total harmonic distortion (THD) by 27.4% than conventional SVM-MFPCC in high range of modulation indexes.
Keywords
Three-phase AC/DC converters, current control, predictive control, robustness, current harmonics.
Speaker
Han Lei

Yongchang Zhang

Wang Xing

Na Jia

Xiaoyi Zhu

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Important Date
  • Conference Date

    Jun 16

    2023

    to

    Jun 19

    2023

  • Jun 15 2023

    Contribution Submission Deadline

  • Jul 02 2023

    Registration deadline

Sponsored By
Huazhong University of Science and Technology, China
(IEEE PELS)
IEEE
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