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A continuous adjoint-based approach for the optimization of wing flapping

机译:基于连续陪伴的机翼襟翼优化方法

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The study of flapping-wing aerodynamics is a problem with very large control space. Adjoint-based approach, by solving an inverse problem, can be used here as an efficient tool for optimization and physical understanding. However, the adjoint equation is typically formulated in a fixed domain. The moving boundary or morphing domain brings in an inconsistency in the definition of arbitrary perturbation at the boundary, which then proposes a new challenge if the control parameters happen to be also at the boundary. An unsteady mapping function, as a usual remedy for such problems, would make the whole formulation too complex to be feasible. Instead, we use non-cylindrical calculus to re-define the perturbation and solve the inconsistency caused by moving/morphing solid boundaries. The approach is first validated for a simple two dimensional test case of a plate plunging in an incoming flow. Then, we apply the approach to reduce the drag of a rigid flapping plate by optimize the phase delay between the plunging and pitching motion as a constant (single parameter) and as a time-varying function (large number of parameters). The extension to three dimensional cases is successfully validated by applying on an oscillatory sphere with incoming flow.
机译:襟翼空气动力学的研究是一个非常大的控制空间的问题。通过解决反问题,基于伴随的方法可以在此处用作优化和物理理解的有效工具。但是,伴随方程式通常是在固定域中公式化的。移动边界或变形域在边界处的任意扰动的定义上带来了不一致,如果控制参数碰巧也在边界处,则这将提出新的挑战。作为解决此类问题的常用方法,不稳定的映射功能会使整个公式过于复杂而无法实现。取而代之的是,我们使用非圆柱微积分来重新定义微扰,并解决由移动/变形实体边界引起的不一致。该方法首先针对一个简单的二维测试案例进行了验证,该案例是一个板块浸入进水流中。然后,我们通过将插入和俯仰运动之间的相位延迟优化为常数(单个参数)和随时间变化的函数(大量参数)来应用该方法,以减少刚性挡板的阻力。通过将三维球体应用到带有流入流的振动球体上,可以成功验证对三维情况的扩展。

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