智能叶片风力机建模及多目标尾缘襟翼控制

Modeling of a Smart Blade Wind Turbine and Its Multi-target Control with Trailing Edge Flaps

为了研究尾缘襟翼在风力机主动降载和功率控制方面的效果,以NREL 5 MW参考风力机为研究对象,在每个叶片上增加了2段独立的尾缘襟翼。首先,建立了智能叶片风力机气动、传动链以及发电机模型,进而在Matlab/Simulink中搭建了带有尾缘襟翼的智能叶片风力机模型,并在不同风况下使用FAST气弹仿真平台对所建模型进行对比验证,最后在智能叶片风力机模型基础上设计了多目标多襟翼控制。结果表明:与FAST气弹仿真平台相比,智能叶片风力机模型各项参数偏差均小于10%,精度较高;在多目标多襟翼控制作用下,风力机的叶根挥舞弯矩在1P频率处的功率谱密度减少了89.73%,发电机功率标准差减少了75.07%。

To research the effects of trailing edge flap（TEF）on active load suppression and power control of a wind turbine,the National Renewable Energy Laboratory（NREL）5 MW reference wind turbine was taken as the research object,with two separate TEFs added to each blade.A smart blade wind turbine model with TEFs was developed on Matlab/Simulink by building the aerodynamic model,drive chain model and generator model,which was then verified by comparison with FAST aeroelastic simulation platform under different wind conditions,and subsequently a multi-target control was designed with trailing edge flaps.Simulation results show that,compared with FAST aeroelastic simulation platform,the smart blade wind turbine model has a higher accuracy,with parameters deviation less than 10%;under the multi-target control with trailing edge flaps,the power spectral density（PSD）of the blade flapwise root moment can be reduced by 89.73%at 1 Pfrequency,while the standard deviation of generator power can be reduced by75.07%.