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author:

Tang, L. (Tang, L..) [1] | Han, Z. (Han, Z..) [2] | Xu, Z. (Xu, Z..) [3]

Indexed by:

Scopus

Abstract:

In the making process of a contactor, fast collisions of the movable contact and the static contact lead to contact bounce, which greatly reduces the electrical life of the contactor. In this paper, 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 feedback. By controlling the excitation time of the contactor, the contact colliding speed successively approximates a given smaller reference value; thus, 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 contact bounce time is more than 70% and that the proposed control strategy is universal. IEEE

Keyword:

bounce inhibition; contact colliding speed; contactor; fuzzy logic control; intelligent control; neural network

Community:

  • [ 1 ] [Tang, L.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, Fujian Province China 350116 (e-mail: tlftel@sina.com)
  • [ 2 ] [Han, Z.]School of Electrical Engineering and Automation, Fuzhou University, 12423 Fuzhou China 350108 (e-mail: 812523002@qq.com)
  • [ 3 ] [Xu, Z.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, Fujian China (e-mail: 641936593@qq.com)

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Source :

IEEE Transactions on Industrial Electronics

ISSN: 0278-0046

Year: 2020

8 . 2 3 6

JCR@2020

7 . 5 0 0

JCR@2023

ESI HC Threshold:132

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 32

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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