Optimization of tuned mass damper parameters for floating wind turbines by using the artificial fish swarm algorithm
Optimization of tuned mass damper parameters for floating wind turbines by using the artificial fish swarm algorithm
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DOI：
10.1016/j.oceaneng.2018.08.031
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发表时间：
2018-11
影响因子：
5
通讯作者：
Xin Jin;Shuangyi Xie;Jiao He;Yifan Lin;Yaming Wang;N. Wang
中科院分区：
文献类型：
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作者：
Xin Jin;Shuangyi Xie;Jiao He;Yifan Lin;Yaming Wang;N. Wang
本文研究了浮动式风力机的振动控制以及调谐质量阻尼器(TMD)的位置对浮式风力机关键部件的位移和载荷的影响。首先建立了完整的风力机模型，并对传动系模型进行了验证。其次，根据拉格朗日方程，考虑塔架、平台和TMD运动的共同作用，建立了FWTs的六自由度动力学模型。利用动力学模型对TMD参数进行了优化。第三，利用Lvenberg-MarQuardt方法对模型的未知参数进行估计。第四，以塔顶纵向位移标准差最小为控制目标，采用人工鱼群算法对TMD的质量、阻尼和刚度系数进行了优化设计。最后，对五种负荷工况进行了联合仿真。结果表明，TMD位置和荷载工况对评价指标的减振效果有影响。
In this study, the vibration control of floating wind turbines (FWTs) and the influence of the tuned mass damper (TMD) location on the displacements and loads of key parts of an FWT are investigated. First, a complete wind turbine model is built and the drivetrain model is validated. Second, a six-degrees-of-freedom dynamic model is established for FWTs according to the Lagrange equation by considering the combined effect of the tower, platform, and TMD motions. The dynamic model is used to optimize the TMD parameters. Third, the unknown parameters of the proposed model are estimated using the Levenberg–Marquardt method. Fourth, by taking the minimum standard deviation of the fore–aft displacement at the top of the tower as the control objective, the mass, damping, and stiffness coefficients of the TMD are optimized using the artificial fish swarm algorithm. Finally, cosimulation is performed for five load cases. The results suggest that the TMD location and load case affect the mitigation effect for the evaluation indices.