Optimization of tuned mass damper parameters for floating wind turbines by using the artificial fish swarm algorithm

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.