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access icon openaccess Research of chaotic characteristics of low-voltage air arc

  • Author(s): Xue Leng 1 ; Hai Chen 2 ; Peiyuan Li 2 ; Xiaoming Liu 2
    • View affiliations
  • Source: Volume 2019, Issue 16, March 2019, p. 2484 – 2487
    DOI:  10.1049/joe.2018.8675 , Online ISSN 2051-3305
This is an open access article published by the IET under the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/)
Received 28/08/2018, Accepted 19/09/2018, Published 26/10/2018

In order to explore the principle of low-voltage air arc, to find out ways of arc control, and use experimental platform of 220 V air arc generator, the resistive, inductive and resistive loads are taken as the research objects. The research combined with experiments and computer simulation analysis, based on the chaotic phase space reconstruction theory, the C-C method, the Wolf algorithms and the Cao method, the dynamic chaotic behaviour of the low-voltage air arc current is identified quantitatively. Through the processing of the experimental and emulational data, the chaotic phase diagrams which describe chaotic attractors clearly are drawn. The LEmax of low-voltage air arc current are obtained, and the essential characteristic that the chaotic behaviour exists in low-voltage air arc is revealed and described.

Inspec keywords: arcs (electric); chaos

Other keywords: chaotic phase diagrams; resistive loads; arc control; chaotic phase space reconstruction theory; air arc generator; low-voltage air arc current; chaotic characteristics

Subjects: Theory and models of chaotic systems; Arcs and sparks

References

    1. 1)
      • 5. Cao, L.Y.: ‘Practical method for determining the minimum embedding dimensions of a scalar time series’, Physical D, 1997, 110, (1–2), pp. 43–50.
    2. 2)
      • 9. Liu, X.M., Leng, X., Cao, Y.D., et al: ‘Chaotic characteristic analysis of the interaction between arc and the gas flow of 550 kV SF6 circuit breaker’, Trans. China Electrotech. Soc., 2012, 27, (6), pp. 46–52.
    3. 3)
      • 1. Packard, H., Crutchfield, P., Farmer, D., et al: ‘Geometry from a time series’, Phys. Rev. Lett., 1980, 45, (9), pp. 712–716.
    4. 4)
      • 2. Takens, F.: ‘Detecting strange attractor in turbulence’, Lecture Notes in Math., (LNCS898), 1981, 898, (2), pp. 361–381.
    5. 5)
      • 4. Wolf, A., Swift, J.B., Swinney, H.L., et al: ‘Determining Lyapunov exponents from a time series’, Physical D, 1985, 16, (3), pp. 285–317.
    6. 6)
      • 7. Leng, X., Liu, L., Liu, X.M., et al: ‘Chaotic characteristics analysis of high voltage SF6 circuit breaker under different breaking conditions’, J. Electr. Eng., 2015, 10, (11), pp. 27–32.
    7. 7)
      • 3. Kim, H.S., Eykholt, R., Salas, J.D.: ‘Nonliner dynamics, delay times, and embedding windows’, Physica D, 1999, 127, pp. 48–60.
    8. 8)
      • 6. Guan, H.L., Wang, B.W., Zhao, Z.H.: ‘Chaotic characteristic analysis of arc current based on phase space reconstruction and Lyapunov exponent’, Adv. Technol. Electr. Eng. Energy, 2017, 36, (3), pp. 35–40.
    9. 9)
      • 8. Liu, X.M., Han, Y., Wang, E.Z., et al: ‘Chaos of arc model for SF6 circuit breaker based on coupled multiple-physical field simulation’, Trans. China Electrotech. Soc., 2013, 28, (1), pp. 165–172.
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