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本文基于自主搭建的带有柔性尾缘襟翼(DTEF)控制的气动伺服弹性耦合仿真计算平台,首先从整体上论证了DTEF对降低风机叶片疲劳载荷的有效性,得到不同风速下风机叶片的叶根挥舞力矩按方位角的分布特性,在此基础上分析了DTEF能够降低叶片疲劳载荷的作用机理.最终得到结论;基于DTEF的智能叶片控制在不影响电机功率输出量的前提下可以有效降低叶片的疲劳载荷,减小电机输出功率、推力、桨距角的波动;不同轮毂高风速下DTEF的作用效果按方位角的分布规律不同;从参数的方位角分布规律分析出智能叶片控制机理,即DTEF引入破坏了原有叶片的气弹耦合特性,减弱叶片承受气动力,从而有效降低了叶片疲劳载荷.本文工作为未来明确智能叶片流动控制机理和优化载荷控制提供参考.“,”This paper presented the research work based on our newly developed aero-servo-elastic platform with deformable trailing edge flap (DTEF) controlling method.First of all,the effectiveness of DTEF on reducing wind turbine blades fatigue damage has been demonstrated.Secondly,the characteristic distribution of blades' root flapwise moment can be obtained under different wind speed and azimuth.Finally,the mechanism theory of DTEF reducing blades fatigue damage had been observed by analyzing the distribution of dynamic and structural parameters in azimuth.The conclusions are as follow:without affection amounts of generator output power,using DTEF control method can decrease the fluctuation of generator output power,thrust and pitch angle;it has different distribution of DTEF working effect under different wind speed and azimuth;by analyzing the parameters distribution in azimuth,the mechanic theory of DTEF is interrupting the aero-elastic synchronism,reducing the blade wave energy and fatigue damage.This paper's work can guide the research of smart rotor control in azimuth.