敏捷的息机动在鸟类和变形翼无人机中
Valentin Wüest1, Simon Jeger2, Mir Feroskhan3
1Laboratory of Intelligent Systems, École Polytechnique Fédérale de Lausanne, Lausanne, Vaud, Switzerland. valentinwueest@gmail.com.
Nature communications
|September 27, 2024
概括
在息时,鸟类在高的攻击角度最小化飞行距离,以减少撞击能量. 一架受鸟类启发的无人机验证了这一假设,揭示了敏捷飞行控制的关键变形因素.
科学领域:
- 机器人和生物力学
- 空气动力学和飞行动力学.
背景情况:
- 鸟类的坐涉及复杂的,敏捷的飞行机动.
- 快速的翅膀和尾巴变形对于息期间的能量消耗至关重要.
- 对鸟类息的潜在控制策略尚不清楚.
研究的目的:
- 为了测试这样的假设,即鸟类在高的攻击角下尽量减少飞行距离,以便在撞击前消散动能.
- 为了研究鸟类息的控制策略,使用一种以鸟类为灵感的无人机.
主要方法:
- 最佳控制方法应用于一种以鸟类为灵感的无人机,具有变形的翅膀和尾巴.
- 无人机飞行轨迹,变形序列和动能分布与鸟类数据的比较.
- 无人机机翼变形的实验操纵,以确定关键因素.
主要成果:
- 无人机的飞行轨迹和能量消耗模式模仿了在鸟类中观察到的情况.
- 关于在高攻击角度最小化飞行距离的假设得到了支持.
- 确定了对于最佳息性能至关重要的关键变形参数.
结论:
- 这项研究提供了对控制控制策略的见解,这些控制策略控制着鸟类的息机动.
- 受鸟类启发的无人机可以有效地复制和研究复杂的飞行行为.
- 这些发现对敏捷的空中机器人设计和了解鸟类飞行有意义.
相关概念视频
Convergent Evolution
27.6K
Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.
27.6K
Optimal Foraging
12.0K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
12.0K
Migration
7.9K
Migration is long-range, seasonal movement from one region or habitat to another. This common strategy, carried out by many different organisms around the world, is an adaptive response that typically corresponds to changes in an organism’s environment, like resource availability or climate. Migrations can involve huge groups of thousands of animals as well as single individuals traveling alone and can range from thousands of kilometers to just a few hundred meters.
7.9K


