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Yuan Z, He J, Pan Y, et al. Research on ultra-fast vacuum mechanical switch driven by repulsive force actuator. Rev Sci Instrum. 2016;87(12):125103doi: 10.1063/1.4968578.
Yuan, Z., He, J., Pan, Y., Jing, X., Zhong, C., Zhang, N., Wei, X., & Tang, G. (2016). Research on ultra-fast vacuum mechanical switch driven by repulsive force actuator. The Review of scientific instruments, 87(12), 125103. https://doi.org/10.1063/1.4968578
Yuan, Zhao, et al. "Research on ultra-fast vacuum mechanical switch driven by repulsive force actuator." The Review of scientific instruments vol. 87,12 (2016): 125103. doi: https://doi.org/10.1063/1.4968578
Yuan Z, He J, Pan Y, Jing X, Zhong C, Zhang N, Wei X, Tang G. Research on ultra-fast vacuum mechanical switch driven by repulsive force actuator. Rev Sci Instrum. 2016 Dec;87(12):125103. doi: 10.1063/1.4968578. PMID: 28040972.
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Rev Sci Instrum. 2016 Dec;87(12):125103. doi: 10.1063/1.4968578.

Research on ultra-fast vacuum mechanical switch driven by repulsive force actuator.

The Review of scientific instruments

Zhao Yuan, Junjia He, Yuan Pan, Xin Jing, Canyi Zhong, Ning Zhang, Xiaoguang Wei, Guangfu Tang

Affiliations

  1. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
  2. Global Energy Interconnection Research Institute, Beijing 102209, China.

PMID: 28040972 DOI: 10.1063/1.4968578

Abstract

In order to meet the fast operation demands of DC circuit breakers, a high-speed vacuum mechanical switch (VMS) driven by a repulsive force actuator is focused. To improve the drive speed and energy conversion efficiency (ECE) of the actuators, the dynamic characteristics of the double sided coil repulsive force actuators are investigated, and two generalized optimization design methods focusing on the aspect ratio of the driving coils (defined as ARF) and the electrical parameters (defined as EF) are developed. FEM simulation models' simulation and tests of VMS prototypes are conducted to verify the optimization methods. Results prove that the ARF method could improve the ECE of a VMS from 1.05% to 7.55%, and EF method could improve ECE of the same VMS from 1.05% to 6.61%, the combination of ARF and EF could improve the value of VMS's ECE to 10.50%, thus proving the validity and accuracy of the optimization methods.

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