变弯度后缘与常规舵面机翼的颤振主动抑制对比

后缘变弯度机翼的气动弹性建模与稳定性分析日益受到关注。为了探究变弯度后缘相比常规偏转舵面机翼颤振主动抑制的方法与特点，以一个小展弦比后缘变弯度机翼为对象，首先建立结构有限元模型，并引入变弯度后缘变形模态和常规舵面偏转模态，采用亚声速偶极子格网法计算非定常气动力；然后使用基于最小状态法的有理函数拟合进行频域到时域模型的转换，建立两种构型机翼的气动弹性模型，并在建模时考虑了变弯度后缘与常规舵面控制带宽的差异；最后利用线性高斯二次型方法设计控制律进行颤振主动抑制，分析对比两种控制方式的特性差异。结果表明：采用变弯度后缘的闭环系统能够将颤振临界速度提高22%，其提升效果优于常规舵面，所需舵面偏转峰值更小。     

A review of bird-like flapping wing with high aspect ratio

Bird-like flapping-wing vehicles with a high aspect ratio have the potential to fulfill missions given to micro air vehicles, such as high-altitude reconnaissance, surveillance, rescue, and bird group guidance, due to their good loading and long endurance capacities. Biologists and aeronautical researchers have explored the mystery of avian flight and made efforts to reproduce flapping flight in bioinspired aircraft for decades. However, the cognitive depth from theory to practice is still very limited. The mechanism of generating sufficient lift and thrust during avian flight is still not fully understood. Moving wings with unique biological structures such as feathers make modeling, simulation, experimentation, and analysis much more difficult. This paper reviews the research progress on bird-like flapping wings from flight mechanisms to modeling. Commonly used numerical computing methods are briefly compared. The aeroelastic problems are also highlighted. The results of the investigation show that a leading-edge vortex can be found during avian flight. Its induction and maintenance may have a close relationship with wing configuration, kinematics and deformation. The present models of flapping wings are mainly two-dimensional airfoils or three-dimensional single root-jointed geometric plates, which still exhibit large differences from real bird wings. Aeroelasticity is encouraged to consider the nonignorable effect on aerodynamic performance due to large-scale nonlinear deformation. Introducing appropriate flexibility can improve the peak values and efficiencies of lift and thrust, but the detailed conclusions always have strong background dependence.