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arXiv 2311.06751physics.flu-dyn
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柔性膜翼稳态射流流动控制的耦合动力学

Coupled dynamics of steady jet flow control for flexible membrane wings

Guojun Li, Rajeev Kumar Jaiman, Hongzhong Liu

AI总结:

针对蝙蝠仿生无人机柔性膜翼,提出稳态射流主动流动控制方法,通过耦合气动弹性框架分析射流动量系数与攻角的影响,验证标度关系并揭示流体-膜耦合反馈回路,为优化控制策略提供指导。

摘要:

我们提出了一种基于稳态射流的柔性膜翼流动控制方法,旨在实现蝙蝠仿生无人机在复杂飞行环境中的自适应高效运动。采用贴体变分计算气动弹性框架对流体-结构相互作用进行建模。从翼型前缘注入高动量射流,并将其输运至尾流,以改变气动性能和膜振动。在攻角和射流动量系数的参数空间中构建了流体-膜耦合动力学的相图。系统探讨了主动射流流动控制对膜性能的耦合动力学效应。结果表明,当前主动流动控制策略在低攻角下表现良好,但在大攻角且伴随大尺度流动分离时其有效性下降。为理解耦合机制,通过欧拉视角下的本征正交分解模态考察了不同射流动量系数下涡模式的演变,并在拉格朗日描述下通过相干流动结构研究了流体输运过程。我们先前工作中提出的两个定量关联膜变形与气动载荷的标度关系在施加主动射流流动控制时仍然成立。提出了一种揭示流体-膜耦合机制的统一反馈回路。该反馈回路为设计最优主动流动控制策略和增强飞行能力提供了有益指导。这些发现有助于推动集成智能感知与智能控制的下一代仿生无人机的发展。

英文摘要:

We present a steady jet flow-based flow control of flexible membrane wings for an adaptive and efficient motion of bat-inspired drones in complex flight environments. A body-fitted variational computational aeroelastic framework is adopted for the modeling of fluid-structure interactions. High-momentum jet flows are injected from the leading edge and transported to the wake flows to alter the aerodynamic performance and the membrane vibration. The phase diagrams of the coupled fluid-membrane dynamics are constructed in the parameter space of the angle of attack and the jet momentum coefficient. The coupled dynamical effect of active jet flow control on the membrane performance is systematically explored. While the results indicate that the current active flow control strategy performs well at low angles of attack, the effectiveness degrades at high angles of attack with large flow separation. To understand the coupling mechanism, the variations of the vortex patterns at different jet momentum coefficients are examined by the proper orthogonal decomposition modes in the Eulerian view and the fluid transport process is studied by the coherent flow structures in the Lagrange description. Two scaling relations that quantitatively connect the membrane deformation with the aerodynamic loads presented in our previous work are verified even when active jet flow control is applied. A unifying feedback loop that reveals the fluid-membrane coupling mechanism is proposed. This feedback loop provides useful guidance for designing optimal active flow control strategies and enhancing flight capabilities. These findings can facilitate the development of next-generation bio-inspired drones that incorporate smart sensing and intelligent control.

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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