FlapKAD：扑翼飞行器机翼运动学与气动动力学耦合的仿真数据集
FlapKAD: A Simulation Dataset of Coupled Wing Kinematics and Aerodynamic Dynamics for Flapping-Wing Aerial Vehicles
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中文总结 AI 辅助
针对扑翼飞行器缺乏时间对齐的机翼运动与气动数据问题，提出FlapKAD仿真数据集及双向序列预测基准，揭示方向与视界相关的模型行为及扭转角重构误差更高的现象。
中文摘要 AI 辅助
扑翼飞行器的实验研究与建模受限于缺乏大规模、时间对齐的机翼运动学、气动响应和飞行状态记录。现有数据集往往规模有限，并受测量噪声以及快速变化的机翼运动与相关动态响应之间时间错位的影响，尤其是在高频扑动情况下。我们提出了FlapKAD，一个情节结构化的仿真数据集，包含2,000个刚翼飞行情节和720,152个有效时间步，双侧机翼运动学、气动响应和飞行状态在统一时钟下同步记录。FlapKAD支持基于相同时间对齐情节构建的统一双向序列预测基准。前向任务根据已实现的扑动和扭转角历史预测未来垂直力系数和机体垂直速度，而逆向任务则从相应的响应历史重建未来的扑动和扭转角轨迹。对八种代表性时间序列架构在多个预测视界上的基准测试揭示了方向和视界相关的模型行为，扭转角的重构误差系统性高于扑动角，且架构复杂度的增加并未带来一致的优势。FlapKAD为研究扑翼飞行器中机翼运动学、气动和飞行状态耦合动力学提供了可复现的数据集和基准。
英文摘要
Experimental investigation and modeling of flapping-wing aerial vehicles are limited by the scarcity of large-scale records that temporally align wing kinematics, aerodynamic responses, and flight states. Existing datasets are often limited in scale and affected by measurement noise and temporal misalignment between rapidly varying wing motion and the associated dynamic response, particularly during high-frequency flapping. We introduce FlapKAD, an episode-structured simulation dataset comprising 2,000 rigid-wing flight episodes and 720,152 valid time steps, with bilateral wing kinematics, aerodynamic responses, and flight states recorded synchronously within a common clock. FlapKAD supports a unified bidirectional sequence-prediction benchmark constructed from the same temporally aligned episodes. The forward task predicts future vertical force coefficients and body vertical velocity from histories of realized flap and twist angles, whereas the inverse task reconstructs future flap- and twist-angle trajectories from the corresponding response histories. A benchmark of eight representative time-series architectures across multiple prediction horizons reveals direction- and horizon-dependent model behavior, systematically higher reconstruction errors for twist angle than for flap angle, and no consistent advantage from increased architectural complexity. FlapKAD provides a reproducible dataset and benchmark for studying coupled wing-kinematic, aerodynamic, and flight-state dynamics in flapping-wing aerial vehicles.
发表机构
- University of Turku（图尔库大学）
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