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author:

Tang, Longfei (Tang, Longfei.) [1] | Han, Zhiping (Han, Zhiping.) [2] | Xu, Zhihong (Xu, Zhihong.) [3]

Indexed by:

EI

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. © 1982-2012 IEEE.

Keyword:

Fuzzy control Fuzzy logic

Community:

  • [ 1 ] [Tang, Longfei]School of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 2 ] [Han, Zhiping]School of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 3 ] [Xu, Zhihong]School of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 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 HC Threshold:105

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 26

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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