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author:

Yu, Xinhong (Yu, Xinhong.) [1] | Chen, Wei (Chen, Wei.) [2] | Wang, Fengxiang (Wang, Fengxiang.) [3] | Ke, Dongliang (Ke, Dongliang.) [4] | Xu, Libin (Xu, Libin.) [5] | Rodriguez, Jose (Rodriguez, Jose.) [6]

Indexed by:

EI

Abstract:

The conventional model predictive control (MPC) method of the non-isolated two-stage AC–DC–DC converter has poor robustness and dynamic characteristics under conditions of model mismatch, external disturbance, and load disturbance. To solve this problem, a model-free predictive control method of the converter based on linear extended state observer (LESO) is proposed in this article. First, the ultra-local model of the two-stage converter is constructed to replace the mathematical model. Second, to improve the accuracy of the ultra-local model, LESOs are designed to estimate the uncertain part of each control loop. Third, the cost functions are adopted based on the deadbeat control method to achieve better dynamic performance. Finally, to further reduce the output current ripple, the carrier phase-shifting pulse width modulation is applied. The experimental results verify the high robustness and better control performance of the proposed method in a two-stage converter compared with the conventional MPC method. © 2022 John Wiley & Sons Ltd.

Keyword:

Cost functions DC-DC converters Model predictive control Predictive control systems State estimation

Community:

  • [ 1 ] [Yu, Xinhong]Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou, China
  • [ 2 ] [Chen, Wei]Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou, China
  • [ 3 ] [Chen, Wei]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 4 ] [Wang, Fengxiang]Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou, China
  • [ 5 ] [Wang, Fengxiang]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 6 ] [Wang, Fengxiang]Quanzhou Institute of Equipment Manufacturing, Xidong Road 166, Luoshan District, Fujian, Jinjiang, China
  • [ 7 ] [Ke, Dongliang]Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou, China
  • [ 8 ] [Xu, Libin]Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou, China
  • [ 9 ] [Xu, Libin]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 10 ] [Rodriguez, Jose]Faculty of Engineering, Universidad San Sebastian, Santiago, Chile

Reprint 's Address:

  • [wang, fengxiang]college of electrical engineering and automation, fuzhou university, fuzhou, china;;[wang, fengxiang]quanzhou institute of equipment manufacturing, xidong road 166, luoshan district, fujian, jinjiang, china;;[wang, fengxiang]quanzhou institute of equipment manufacturing, haixi institutes, chinese academy of sciences, quanzhou, china

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Source :

International Journal of Robust and Nonlinear Control

ISSN: 1049-8923

Year: 2025

Issue: 7

Volume: 35

Page: 2642-2657

3 . 2 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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