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<p>The nonlinear passive control of galloping oscillations of a single span of a transmission line is studied. Different dynamics of the system, with and without a coupled nonlinear absorber, around one of its arbitrary natural frequencies are detected leading to tracing equilibrium points of the system as a function of the velocity of the wind. This method permits to understand the effects of the nonlinear absorber on the galloping oscillations. Some existing experimental data on the cable without the absorber are confronted with the analytical predictions for having deeper vision about the phenomenon. Then, a finite element model of the system has been developed which takes into account the self-excited nature of the line due to aeroelastic effects. A nonlinear absorber has been design based of analytical developments and its efficiency in galloping control of the line is studied via finite element modeling of the system.</p>

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Galloping control of transmission lines using nonlinear absorbers

  • 期刊论文

  • 发表日期：

    2025年6月11日

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  • M. Leroux,
  • A. Ture Savadkoohi,
  • S. Langlois,
  • N. Bouaanani,
  • P. Van Dyke

摘要

The nonlinear passive control of galloping oscillations of a single span of a transmission line is studied. Different dynamics of the system, with and without a coupled nonlinear absorber, around one of its arbitrary natural frequencies are detected leading to tracing equilibrium points of the system as a function of the velocity of the wind. This method permits to understand the effects of the nonlinear absorber on the galloping oscillations. Some existing experimental data on the cable without the absorber are confronted with the analytical predictions for having deeper vision about the phenomenon. Then, a finite element model of the system has been developed which takes into account the self-excited nature of the line due to aeroelastic effects. A nonlinear absorber has been design based of analytical developments and its efficiency in galloping control of the line is studied via finite element modeling of the system.