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[期刊论文]

Improved model-free predictive current control for three-level inverter

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author:

Jin, Tao (Jin, Tao.) [1] (Scholars:金涛) | Shen, Xueyu (Shen, Xueyu.) [2] | Su, Taixin (Su, Taixin.) [3] | Unfold

Indexed by:

EI PKU CSCD

Abstract:

Traditional predictive control models are highly dependent on the system model, and suffer from poor robustness. To address these issues, an improved model-free prediction current control method for three-phase three-level NPC(Neutral Point Clamped) inverters is proposed. This method predicts the output current value of the next time by using the load current detected at the present time and the current difference vector calculated in the previous time period, without any system model parameters. The load current is effectively controlled by introducing a counting factor that updates the current difference in time. At the same time, the selected inverter switching state that minimizes the given cost function is applied in the next control period. The proposed method only needs to sample the load current once in one sampling interval, while it has a large amount of calculation and relatively high requirement for the system processor. The simulative and experimental results show that the proposed control strategy exhibits satisfactory steady-state characteristics and dynamic response speed, and can eliminate the negative impact of load parameters on the stability of the control system. © 2019, Electric Power Automation Equipment Press. All right reserved.

Keyword:

Cost functions Electric current control Electric inverters Model predictive control Predictive analytics

Community:

  • [ 1 ] [Jin, Tao]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Shen, Xueyu]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 3 ] [Su, Taixin]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 4 ] [Guo, Jingdong]State Grid Fujian Electric Power Research Institute, Fuzhou; 350007, China

Reprint 's Address:

  • 金涛

    [jin, tao]college of electrical engineering and automation, fuzhou university, fuzhou; 350116, china

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Related Article:

Source :

Electric Power Automation Equipment

ISSN: 1006-6047

Year: 2019

Issue: 4

Volume: 39

Page: 86-91 and 113

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 6

30 Days PV: 4

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