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Abstract:
The process of electromagnetic contactor actuation was studied, aiming to improve the actuation reliability of electromagnetic contactors in different working environment and full life cycle through control algorithm, and avoid the complex physical modeling process of contactor. Firstly, under the current closed-loop control concept, the time-lag effect of contact motion in the actuation process of electromagnetic contactor was analyzed, and the current closed-loop control sequence of the actuation process, which takes into account both quick actuation and bounce suppression, was designed. Then, the characteristics of the electromagnetic contactor under the actual working conditions were studied to find the direct relationship between coil current and operating time, and the model-free adaptive control (MFAC) scheme was introduced for the first time to realize the real-time and online optimization of the actuation process of the electromagnetic mechanism and suppress the dispersive action. The control strategy does not depend on any structural parameters of the controlled object. It does not need to establish a physical model of the contact instrument or add sensors in advance. It only optimizes the control strategy of the actuation process of the electromagnetic mechanism based on online data in real time, which can intelligently and rapidly adapt to the change of the external working environment and wear and tear of the switch's own mechanical structure. The rapid control prototype system based on FPGA was built to verify the actual effect of the control strategy. The control strategy can effectively suppress the contact bounce and actuation time dispersity of different types of electromagnetic contactors under different input voltage, which is of general significance to improve the performance of electromagnetic switch actuation. © 2020 Chin. Soc. for Elec. Eng.
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Proceedings of the Chinese Society of Electrical Engineering
ISSN: 0258-8013
CN: 11-2107/TM
Year: 2020
Issue: 5
Volume: 40
Page: 1663-1672
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count: 11
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 1
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