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Research on Optimization Scheme for Model Predictive Current Control of Vienna Rectifier
Received:March 05, 2019  Revised:May 05, 2019
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Keywords:Vienna rectifier  neutral-point voltage fluctuation  redundant short-vector  model predictive current control
Fund Project:Six Talent Peaks Project in Jiangsu Province (GDZB-167); Natural Science Foundation of the Higher Education Institutions of Jiangsu Province (17KJB470013); Top-notch Academic Programs Project of Jiangsu Higher Education Institutions (PPZY2015C252)
           
AuthorInstitutionEmail
zhangjin jszhangjin888@sina.com
yufeng yufeng628@ntu.edu.cn
GAO LEI gaolei0114@163.com
ZHANG Zhenyan zhenyanmm@163.com
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Abstract:
      To suppress the neutral-point voltage fluctuation which exists inherently in the Vienna rectifier, an improved model predictive current control (MPCC) method based on redundant short-vector pre-judgment is proposed. Due to the elimination of weighting factors, the problem of tuning work in the conven-tional MPCC is addressed. First, the operating mechanism of the Vienna rectifier is analyzed, and the mathematical model of Vienna rectifier based on syn-chronous rotating coordinates under steady-state conditions is established. Then, the neutral-point voltage fluctuation of the DC-side of the Vienna rectifier is described in detail, and the control scheme for the neutral-point voltage fluctuation suppression is constructed. Furthermore, an optimized method of MPCC is studied for reducing the computing burden of the controller. Finally, the simulation and experimental results prove the effectiveness of the proposed control scheme.
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