| Due to the lack of rigid structural foundation of offshore floating wind turbines and the greater wind-wave external loads than onshore wind turbines,the operating environment of offshore floating wind turbines is worse than that of onshore and fixedpile offshore wind turbines.The load migration of floating wind turbines has become a research hotspot in current offshore wind power generation yield.In order to reduce the structural load generated by the combination of wind and waves during the operation of the floating wind turbine,In this paper,we study a method of reducing the load based on the installation of limited mass dampers in both the nacelle and the floating platform,and actively control them to reduce the load of the floating wind turbine.The specific research contents of this paper are as follows:(1)Analyzed the development status and research background of floating wind turbine,selected barge floating fans as research objects,and established the motion model of multiple limited dampers and barge floating wind turbine based on Euler-Lagrange equations.The corresponding state space expression is obtained,and the unknown parameters are identified then.(2)Based on the nonlinear characteristics of the floating wind turbine itself during operation,this paper proposes an active structure control using an H∞ controller with adaptive structure to reduce the wind-wave load.In order to achieve the best control effect,this paper uses a fast-genetic algorithm to optimize the parameters of the limited dampers.(3)Finally,through the FAST-SC floating wind turbine simulation software,the method of multiple limited dampers de-loading structure and active control using adaptive H∞ control algorithm is simulated under different wind-wave loads.And compared with other control structures and control algorithms at multiple aspects.Comparing the simulation results,it is found that the load migration control method using multiple limited mass dampers for adaptive H∞ control can achieve better load migration control effect than other control structures or algorithms. |