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author:

Ipoum Ngome, P.G. (Ipoum Ngome, P.G..) [1] | Mon-Nzongo, Daniel L. (Mon-Nzongo, Daniel L..) [2] | Tang, Jinquan (Tang, Jinquan.) [3] | Jin, Tao (Jin, Tao.) [4] (Scholars:金涛) | Flesch, Rodolfo C.C. (Flesch, Rodolfo C.C..) [5] | Wang, Mengqi (Wang, Mengqi.) [6]

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Abstract:

In this paper, a data-driven predictive controller (DDPC) with a fast closed-loop response and able to deal with failed H-bridge cells is proposed for multilevel cascaded H-bridge inverters. The proposed strategy uses multiple dynamic structures (MDS) and the measured current value for closed-loop control. Each dynamic data is a control signal associated with two current responses and derived by a PI-controller. In a classic DDPC, all dynamic data are stored in a single dynamic structure (SDS) independently of the operating condition. This results in a mixing of dynamics and increases the risk of using dynamic data at the wrong operating condition. In addition, without an adequate initialization at a slow update rate, the controller will require a period of time to modified SDS and characterize the new operating condition after the fault occurs, which results in a large transient time. To obtain a fast closed-loop response, an offline initialization algorithm is used to define MDS. With a reliable MDS, simulation results show that the proposed DDPC based MDS achieved a fast transient and balanced steady-state current response during startup and post-fault operations. © 2021 IEEE.

Keyword:

Bridge circuits Controllers Electric inverters Power quality

Community:

  • [ 1 ] [Ipoum Ngome, P.G.]Pearl Electric Corporation, Research and Development Department, Guangzhou, China
  • [ 2 ] [Mon-Nzongo, Daniel L.]Fuzhou University, Electrical Engineering Department, Fuzhou, China
  • [ 3 ] [Tang, Jinquan]Pearl Electric Corporation, Research and Development Department, Guangzhou, China
  • [ 4 ] [Jin, Tao]Fuzhou University, Electrical Engineering Department, Fuzhou, China
  • [ 5 ] [Flesch, Rodolfo C.C.]Federal University of Santa Catarina, Department of Automat. and System, Florianópolis, Brazil
  • [ 6 ] [Wang, Mengqi]University of Michigan-Dearborn, Department of Elect. and Computer Eng., United States

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Year: 2021

Page: 709-714

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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