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Author:

Yang, Yong (Yang, Yong.) | Wen, Huiqing (Wen, Huiqing.) | Fan, Mingdi (Fan, Mingdi.) | He, Liqun (He, Liqun.) | Xie, Menxi (Xie, Menxi.) | Chen, Rong (Chen, Rong.) | Norambuena, Margarita (Norambuena, Margarita.) | Rodriguez, Jose (Rodriguez, Jose.)

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Abstract:

Conventional model predictive control (MPC) suffers from unfixed switching frequency, heavy computational burden, and cumbersome weighting factors' tuning, especially for multilevel inverter applications due to a large number of voltage vectors. To address these concerns, this article proposes multiple-voltage-vector (MVV) MPC algorithms with reduced complexity and fixed switching frequency for T-type three-phase three-level inverters. First, MMVs are adopted during each control period, and their execution times are set according to the predefined cost functions. Second, weighting factors for balancing the neutral point (NP) voltage in the cost function are eliminated by utilizing redundant voltage vectors, which simplifies the control implementation. Third, through mapping the reference voltage in the first large sector, the calculation complexity for the execution times of voltage vectors in different large sectors becomes much lower. Finally, main experimental results were presented to validate the effectiveness of the proposed algorithms. © 2020 IEEE.

Keyword:

Computational complexity Cost functions Electric inverters Model predictive control Predictive control systems Switching frequency Vectors

Author Community:

  • [ 1 ] [Yang, Yong]School of Rail Transportation, Soochow University, Suzhou; 215131, China
  • [ 2 ] [Wen, Huiqing]Electrical and Electronics Department, Xi'an Jiaotong-Liverpool University, Suzhou; 215123, China
  • [ 3 ] [Fan, Mingdi]School of Rail Transportation, Soochow University, Suzhou; 215131, China
  • [ 4 ] [He, Liqun]School of Rail Transportation, Soochow University, Suzhou; 215131, China
  • [ 5 ] [Xie, Menxi]School of Rail Transportation, Soochow University, Suzhou; 215131, China
  • [ 6 ] [Chen, Rong]School of Rail Transportation, Soochow University, Suzhou; 215131, China
  • [ 7 ] [Norambuena, Margarita]Faculty of Engineering, Universidad Tecnica Federico Santa Maria, Valparaíso; 2390123, Chile
  • [ 8 ] [Rodriguez, Jose]Faculty of Engineering, Universidad Tecnica Federico Santa Maria, Valparaíso; 2390123, Chile

Reprint Author's Address:

  • [Yang, Yong]School of Rail Transportation, Soochow University, Suzhou; 215131, China;;

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Source :

IEEE Transactions on Transportation Electrification

Year: 2020

Issue: 1

Volume: 6

Page: 105-117

5 . 1 2 3

JCR@2020

5 . 1 2 3

JCR@2020

JCR Journal Grade:1

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 69

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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