基于输入−状态联合估计的漂浮式风机塔架结构载荷反演及状态分析

Structural load inversion and state analysis of floating wind turbine tower based on joint input-state estimation

    摘要
  • 摘要:
    目的 旨在研究波浪作用下漂浮式风机塔架的结构载荷反演方法及动力响应状态。
    方法 以半潜型风机为研究对象，通过时域仿真模拟测量数据，并且基于漂浮式风机的频域仿真模型计算塔架的质量归一化模态，将二者作为输入−状态联合估计（joint input-state estimation, JIS）算法的输入，对漂浮式风机塔架开展结构载荷反演以及实时状态分析。
    结果 结果表明：基于JIS算法，以塔架节点的仿真数据作为算法的输入，估计的塔根载荷以及塔架节点响应与仿真结果具有良好的一致性，实现了高精度的反演。
    结论 反演结果验证了JIS算法的有效性，可以用于漂浮式风机的实时状态分析，保障漂浮式风机长期安全稳定运行。

     

    Abstract:
    Objective This study uses the structural load inversion method to conduct a dynamic response state analysis of a floating wind turbine tower under wave action.
    Method Based on a semi-submersible wind turbine, the measurement data is simulated in the time domain, and the mass-normalized modes of the tower are calculated using a frequency-domain simulation model of the floating wind turbine. Both are used as inputs to a joint input-state estimation (JIS) algorithm to conduct the structural load inversion and real-time state analysis of the floating wind turbine tower.
    Results The results show that when using the simulated data of tower nodes as inputs to the JIS algorithm, the estimated tower root loads and node responses agree well with the simulated results, achieving high-precision inversion.
    Conclusion The inversion results verify that the JIS algorithm is effective and can be used for the real-time state analysis of floating wind turbines to ensure their long-term safe and stable operation.

     

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