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会员 A High Computational Efficiency Model Predictive Control for Hybrid Multilevel Converter
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  • 作者:
    Nan Guo  , Xiangyang Xing  , Chang Liu  
  • 页数:
    6
  • 页码:
    3486 - 3491
  • 资源:
  • 文件大小:
    0.78M
摘要
Since finite-control set model predictive control (FCS-MPC) uses an ergodic algorithm in multilevel converters, which suffers from the problem of high computation, this paper proposes a computationally efficient multi-vector model prediction method, which can be applied to all hybrid multilevel converters. Firstly, a sector division is performed in the three-phase space vector diagram. Then the reference voltage vector is located in the 60° coordinate system transformed from the αβ coordinate system. Finally, the region where the reference vector is located is judged to find an arbitrary number of adjacent vectors with sequential order. The proposed method is independent of the voltage level of the converter in the current tracking part and does not require any pre-stored lookup tables and iterative operations with constant computational cost. The effectiveness of the proposed method is verified in simulation for hybrid multilevel converters.
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