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author:

Meng, Liang (Meng, Liang.) [1] | Zhuang, Jierong (Zhuang, Jierong.) [2] (Scholars:庄杰榕) | Xu, Zhihong (Xu, Zhihong.) [3] (Scholars:许志红)

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EI

Abstract:

Dynamic inductance is an important parameter that reflects the dynamic characteristics of the electromagnetic switch during the movement process. Its accurate and rapid identification is of great significance to the optimization and control of the electromagnetic switch. In the actual operation process of electromagnetic switch, the dynamic inductance of electromagnetic mechanism is affected by the coil current and the working air gap, and it changes non-linearly, which makes it difficult to identify. For this reason, this paper proposes a dynamic inductance identification model based on the discrete differential equation. The coil voltage and current are used as input of the model, which considers the online self-correction method of coil resistance. It realizes the identification of dynamic inductance of electromagnetic switch under PWM closed-loop control. At the same time, a three-dimensional finite element co-simulation model of the electromagnetic switch considering the collision bounce is established, and the dynamic inductance is obtained by the method of electromagnetic-mechanical coupling. The calculation results of the inductance identification model are compared with the co-simulation model, and the reliability and accuracy of the identification model are verified. It lays a foundation for further intelligent control of electromagnetic switch. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keyword:

Differential equations Dynamics Inductance

Community:

  • [ 1 ] [Meng, Liang]College of Electrical Engineering and Automation, Fuzhou University, Fujian, Fuzhou; 350116, China
  • [ 2 ] [Zhuang, Jierong]College of Electrical Engineering and Automation, Fuzhou University, Fujian, Fuzhou; 350116, China
  • [ 3 ] [Zhuang, Jierong]Fujian Key Laboratory of New Energy Generation and Power Conversion, Fuzhou University, Fujian, Fuzhou; 350116, China
  • [ 4 ] [Zhuang, Jierong]Fujian Province University Engineering Research Center of Smart Distribution Grid Equipment, Fuzhou University, Fujian, Fuzhou; 350116, China
  • [ 5 ] [Xu, Zhihong]College of Electrical Engineering and Automation, Fuzhou University, Fujian, Fuzhou; 350116, China
  • [ 6 ] [Xu, Zhihong]Fujian Key Laboratory of New Energy Generation and Power Conversion, Fuzhou University, Fujian, Fuzhou; 350116, China
  • [ 7 ] [Xu, Zhihong]Fujian Province University Engineering Research Center of Smart Distribution Grid Equipment, Fuzhou University, Fujian, Fuzhou; 350116, China

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ISSN: 1876-1100

Year: 2022

Volume: 889 LNEE

Page: 716-723

Language: English

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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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