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author:

Tang, Longfei (Tang, Longfei.) [1] (Scholars:汤龙飞) | Han, Zhiping (Han, Zhiping.) [2] | Xu, Zhihong (Xu, Zhihong.) [3] (Scholars:许志红)

Indexed by:

EI Scopus SCIE

Abstract:

In the making process of a contactor, the fast collisions of the movable contact and the static contact lead to the contact bounce, which greatly reduces the electrical life of the contactor. In this article, a neural network model is used to estimate the contact colliding speed and a fuzzy logic controller is designed with the contact colliding speed as the feedback. By controlling the excitation time of the contactor, the contact colliding speed successively approximates a given smaller reference value, thus, the contact bounce is inhibited. The results of the cosimulation show the theoretical feasibility of the proposed scheme. In addition, three contactors of different types are used for an experiment, and the results show that the reduction in the contact bounce time is more than 70% and that the proposed control strategy is universal.

Keyword:

Bounce inhibition contact colliding speed contactor Contactors Contacts Couplings Fuzzy control fuzzy logic control intelligent control Magnetic cores neural network Neural networks Process control

Community:

  • [ 1 ] [Tang, Longfei]Fuzhou Univ, Sch Elect Engn & Automat, Fuzhou 350108, Peoples R China
  • [ 2 ] [Han, Zhiping]Fuzhou Univ, Sch Elect Engn & Automat, Fuzhou 350108, Peoples R China
  • [ 3 ] [Xu, Zhihong]Fuzhou Univ, Sch Elect Engn & Automat, Fuzhou 350108, Peoples R China
  • [ 4 ] [Tang, Longfei]Fuzhou Univ, Fujian Key Lab New Energy Generat & Power Convers, Fuzhou 350108, Peoples R China
  • [ 5 ] [Xu, Zhihong]Fuzhou Univ, Fujian Key Lab New Energy Generat & Power Convers, Fuzhou 350108, Peoples R China

Reprint 's Address:

  • 汤龙飞

    [Tang, Longfei]Fuzhou Univ, Sch Elect Engn & Automat, Fuzhou 350108, Peoples R China

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Source :

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

ISSN: 0278-0046

Year: 2021

Issue: 7

Volume: 68

Page: 6064-6074

8 . 1 6 2

JCR@2021

7 . 5 0 0

JCR@2023

ESI Discipline: ENGINEERING;

ESI HC Threshold:105

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 16

SCOPUS Cited Count: 26

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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