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author:

Tang, L. (Tang, L..) [1] (Scholars:汤龙飞) | Chen, H. (Chen, H..) [2] | Xu, Z. (Xu, Z..) [3] (Scholars:许志红) | Zhang, Y. (Zhang, Y..) [4]

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Abstract:

In this paper, a sensorless breaking and closing displacement tracking control strategy for a contactor is proposed, which improves the action consistency of the contactor. First, a parameter estimator is constructed by combining a neural network with a mechanical motion model, so the electromagnetic force, spring force and movable core displacement of the whole process can be estimated in real time only by the input coil current. Then, in the making and breaking process, the outer displacement loop controlling the inner electromagnetic force loop is adopted as a double closed-loop control based on a fuzzy algorithm, and the accurate breaking and closing displacement tracking of the movable core is realized. In the closing process, only electromagnetic force closed-loop control is adopted. The electromagnetic force is always greater than the spring force by setting an appropriate constant electromagnetic force margin. Therefore, the reliable holding and energy-saving of the contactor can be realized at the same time. The feasibility of the proposed scheme is verified by simulation and experiment. The parameter estimation method and closed-loop control strategy proposed in this paper are of great significance to high- performance control of electromagnetic switches. ©2023 Chin.Soc.for Elec.Eng.

Keyword:

action consistency contactor displacement tracking fuzzy control parameter estimation

Community:

  • [ 1 ] [Tang L.]School of Electrical Engineering, Fuzhou University, Fujian Province, Fuzhou, 350108, China
  • [ 2 ] [Chen H.]School of Electrical Engineering, Fuzhou University, Fujian Province, Fuzhou, 350108, China
  • [ 3 ] [Xu Z.]School of Electrical Engineering, Fuzhou University, Fujian Province, Fuzhou, 350108, China
  • [ 4 ] [Zhang Y.]Delixi Group Co., Ltd., Zhejiang Province, Wenzhou, 325604, China

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Proceedings of the Chinese Society of Electrical Engineering

ISSN: 0258-8013

CN: 11-2107/TM

Year: 2023

Issue: 17

Volume: 43

Page: 6852-6861

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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