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首页> 外文期刊>Applied Sciences >Wing Geometry and Kinematic Parameters Optimization of Flapping Wing Hovering Flight
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Wing Geometry and Kinematic Parameters Optimization of Flapping Wing Hovering Flight

机译:扑翼飞行的翼几何和运动学参数优化

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摘要

How to efficiently mimic the wing shape and kinematics pattern of an able hovering living flier is always a concern of researchers from the flapping wing micro aerial vehicles community. In this work, the separate or combined optimizations of wing geometry or/and wing kinematic parameters are systematically performed to minimize the energy of hovering flight, firstly on the basis of analytically extended quasi-steady aerodynamic model by using hybrid genetic algorithm. Before the elaboration of the optimization problem, the parametrization description of dynamically scaled wing with non-dimensional conformal feature of insect-scale rigid wing is firstly proposed. The optimization results show that the combined optimization of wing geometry and kinematic parameters can obtain lower flapping frequency, larger wing geometry parameters and lower power density in comparison with those from other cases of optimization. Moreover, the flapping angle for the optimization involving wing kinematic parameters manifests harmonic shape profile and the pitch angle possesses round trapezoidal profile with certain faster time scale of pitch reversal. The combined optimization framework provides a novel method for the conceptual design of fundamental parameters of biomimetic flapping wing micro aerial vehicle.
机译:如何有效地模仿能飞行的悬停飞行飞行器的机翼形状和运动学模式一直是襟翼微型飞行器社区研究人员关注的问题。在这项工作中,系统地对机翼几何形状或/和机翼运动学参数进行单独或组合的优化,以最大程度地减少悬停飞行的能量,这首先是通过使用混合遗传算法在分析扩展的拟稳态空气动力学模型的基础上进行的。在阐述优化问题之前,首先提出了具有昆虫尺度的刚性机翼的无量纲共形特征的动态定标机翼的参数化描述。优化结果表明,与其他优化方案相比,机翼几何形状和运动学参数的组合优化可以获得更低的襟翼频率,更大的机翼几何形状参数和更低的功率密度。此外,涉及机翼运动学参数的优化扑翼角表现出谐波形状轮廓,俯仰角具有圆形梯形轮廓,并且具有一定的俯仰反转时间尺度。组合优化框架为仿生扑翼微型飞机基本参数的概念设计提供了一种新方法。

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