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author:

Tang, Longfei (Tang, Longfei.) [1] | Chen, Wei (Chen, Wei.) [2] | Xu, Zhihong (Xu, Zhihong.) [3]

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EI

Abstract:

For the first time, a direct electromagnetic force closed-loop control strategy for a contactor is proposed in this article. First, an electromagnetic force observer based on a neural network is designed according to a binary one-to-one mapping of the electromagnetic mechanism parameters to observe the real-time electromagnetic force. Then, the real-time spring reaction force is obtained by combining the observed electromagnetic force with the mechanical motion equation and the spring reaction equation. Finally, a constant force margin is added to the real-time reaction force as the reference curve, and the real-time observed electromagnetic force is used as the feedback; thus, direct electromagnetic force closed-loop control is realized through hysteresis regulation. This scheme can control the constant positive acceleration of the movable core in the dynamic process by taking only the constant force margin as the control target, which ensures the reliable action of the contactor and controls the total kinetic energy of the movable core to control the impact energy and inhibit the contact bounces. Therefore, the direct electromagnetic force closed loop can more accurately and directly realize the dynamic matching of the electromagnetic force and reaction force, which is of great significance to the optimization control of the contactor dynamic process. © 1982-2012 IEEE.

Keyword:

Closed loop control systems Equations of motion Kinetic energy Kinetics Neural networks

Community:

  • [ 1 ] [Tang, Longfei]The School of Electrical Engineering and Automation, Fujian Engineering Research Center of Smart Distribution Grid Equipment, Fujian Key Laboratory of New Energy Generation and Power Conversion, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Tang, Longfei]Shenyang University of Technology, Key Laboratory of Special Machine and High Voltage Apparatus, Shenyang; 110000, China
  • [ 3 ] [Chen, Wei]Fuzhou University, School of Electrical Engineering and Automation, Fuzhou; 350108, China
  • [ 4 ] [Xu, Zhihong]Fuzhou University, School of Electrical Engineering and Automation, Fuzhou; 350108, China

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Source :

IEEE Transactions on Industrial Electronics

ISSN: 0278-0046

Year: 2023

Issue: 2

Volume: 70

Page: 1740-1750

7 . 5

JCR@2023

7 . 5 0 0

JCR@2023

ESI HC Threshold:35

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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