基于x-LMS的智能叶片风力机复合主动降载控制方法

A Compound Control Method for Active Load Alleviation of a Smart Blade Wind Turbine Based on x-LMS

为研究大型风力机的主动降载控制方法,以NREL 5 MW参考风力机为研究对象,建立了具有尾缘襟翼的智能叶片风力机非定常气动模型,并分析其非定常气动性能。基于x-LMS分别对桨距角和尾缘襟翼角进行控制,提出将二者结合的复合主动降载控制方法,并分析了在不同风况下所提控制方法的控制效果。结果表明:所建模型可有效模拟出智能叶片风力机的非定常气动性能;所提控制方法可同时抑制高频与低频叶根挥舞弯矩波动,并显著降低叶片疲劳载荷,有利于风力机的稳定运行。

To study the control method for active load alleviation of large-scale wind turbines, taking the NREL 5 MW reference wind turbine as a research object, an unsteady aerodynamic model was established for the smart blade wind turbine with trailing edge flaps(TEFs), while its unsteady aerodynamic characteristics were analyzed. The pitch angle and TEF angle were controlled respectively based on x-LMS, and a compound control method of active load alleviation was proposed by combining the individual pitch control and TEF control, of which, the control effects were subsequently analyzed under different wind conditions. Results show that the model established can effectively simulate the unsteady aerodynamic characteristics of the smart blade wind turbine. The control method proposed can mitigate the fluctuation of high-frequency and low-frequency flapwise root moment and can significantly reduce the fatigue load of blades, thus achieving safety operation of the wind turbine.