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arXiv 2103.07994physics.flu-dyncs.RO
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状态空间空气动力学模型揭示了扑翼飞行中高的力控制权威性和可预测性

State-space aerodynamic model reveals high force control authority and predictability in flapping flight

The Pennsylvania State University(宾夕法尼亚州立大学)

Yagiz E. Bayiz, Bo Cheng

摘要:

飞行动物依靠快速、大自由度的扑翼运动,这是将它们与气动表面运动有限的旋转或固定翼机器人飞行器区分开来的关键特征。然而,扑翼空气动力学的特点是高度不稳定和三维流动难以建模或控制,准确的气动力预测往往依赖于昂贵的计算或实验方法。在这里,我们开发了一个计算效率和数据驱动的状态空间模型,以动态地将机翼运动学映射到气动力/力矩。该模型用548个不同的扑翼运动进行了训练和测试,并超过了现有准定常模型的精度和通用性。该模型使用12个状态来捕获与力产生相关的非定常和非线性流体效应,而没有流体流动的明确信息。我们还对关键机翼运动变量的控制权威性进行了全面评估,发现瞬时气动力/力矩在很大程度上可通过半冲程周期内的机翼运动历史来预测。此外,迎角、法向加速度和俯仰运动对气动力/力矩产生的影响最大。我们的研究结果表明,扑翼飞行固有地提供了高的力控制权威和可预测性,这可能是发展敏捷和稳定的空中飞行员的关键。

英文摘要:

Flying animals resort to fast, large-degree-of-freedom motion of flapping wings, a key feature that distinguishes them from rotary or fixed-winged robotic fliers with limited motion of aerodynamic surfaces. However, flapping-wing aerodynamics are characterised by highly unsteady and three-dimensional flows difficult to model or control, and accurate aerodynamic force predictions often rely on expensive computational or experimental methods. Here, we developed a computationally efficient and data-driven state-space model to dynamically map wing kinematics to aerodynamic forces/moments. This model was trained and tested with a total of 548 different flapping-wing motions and surpassed the accuracy and generality of the existing quasi-steady models. This model used 12 states to capture the unsteady and nonlinear fluid effects pertinent to force generation without explicit information of fluid flows. We also provided a comprehensive assessment of the control authority of key wing kinematic variables and found that instantaneous aerodynamic forces/moments were largely predictable by the wing motion history within a half-stroke cycle. Furthermore, the angle of attack, normal acceleration, and pitching motion had the strongest effects on the aerodynamic force/moment generation. Our results show that flapping flight inherently offers high force control authority and predictability, which can be key to developing agile and stable aerial fliers.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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