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author:

Yu, Xinhong (Yu, Xinhong.) [1] | Cao, Jiansheng (Cao, Jiansheng.) [2] | Xu, Libin (Xu, Libin.) [3] | Hu, Cungang (Hu, Cungang.) [4] | Wang, Fengxiang (Wang, Fengxiang.) [5]

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EI Scopus

Abstract:

The model predictive control is parameter dependent, the traditional disturbance observer applied in dual active bridge converter, such as the estimation compensation, may lag behind the external disturbances, and the fixed gain is not able to adapt to the change of external wide-range disturbances. Therefore, a model-free predictive voltage control strategy based on adaptive linear extended state observer is proposed. Firstly, the voltage prediction ultra-local model of the dual active bridge converter is constructed by combining the predictive control and model-free control methods, instead of the traditional physical model, which reduces the parameter dependence. Secondly, the linear extended state observer is designed to provide feedback compensation for the dynamic part of the ultra-local model to improve the control accuracy. At the same time, by online fitting the voltage error trend, the observer bandwidth is adaptively adjusted to realize the over-advanced compensation. Finally, the cost function is designed to solve the optimal shift ratio for model-free predictive voltage control. The experimental results verify the effectiveness of the method in improving the robustness and dynamic of the system. © 2024 Science Press. All rights reserved.

Keyword:

Adaptive control systems Cost functions Electric inverters Model predictive control Predictive control systems Robust control Robustness (control systems) State estimation

Community:

  • [ 1 ] [Yu, Xinhong]National and Local Joint Engineering Research Center for Electrical Drives and Power Electronics, Quanzhou Institute of Equipment Manufacturing, Haixi Institute, CAS, Quanzhou; 362216, China
  • [ 2 ] [Cao, Jiansheng]National and Local Joint Engineering Research Center for Electrical Drives and Power Electronics, Quanzhou Institute of Equipment Manufacturing, Haixi Institute, CAS, Quanzhou; 362216, China
  • [ 3 ] [Cao, Jiansheng]College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou; 350100, China
  • [ 4 ] [Xu, Libin]National and Local Joint Engineering Research Center for Electrical Drives and Power Electronics, Quanzhou Institute of Equipment Manufacturing, Haixi Institute, CAS, Quanzhou; 362216, China
  • [ 5 ] [Xu, Libin]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 6 ] [Hu, Cungang]School of Electrical Engineering and Automation, Anhui University, Hefei; 230601, China
  • [ 7 ] [Wang, Fengxiang]National and Local Joint Engineering Research Center for Electrical Drives and Power Electronics, Quanzhou Institute of Equipment Manufacturing, Haixi Institute, CAS, Quanzhou; 362216, China
  • [ 8 ] [Wang, Fengxiang]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China

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Source :

High Voltage Engineering

ISSN: 1003-6520

Year: 2024

Issue: 9

Volume: 50

Page: 4184-4194

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: 3

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