arXiv:2603.12059cs.ROcs.SY2026-03被引 1

让可变形机翼无人机穿越比机身更窄的缝隙,实现精准飞行控制。

Flight through Narrow Gaps with Morphing-Wing Drones

  • 通过飞行中实时收拢机翼,突破固定翼无人机过隙尺寸限制。
  • 在5-7米/秒速度下,穿越缝隙时平均高度误差仅5厘米。
  • 适合需要精确穿越狭窄空间的无人机任务,如搜救与巡检。

固定翼无人机能通过的狭窄缝隙尺寸受机翼跨度限制。受鸟类启发,本文提出一种可变形机翼无人机,可在飞行中临时收拢机翼,实现通过宽度和高度均小于机翼跨度的缝隙。该机动动作在低速飞行时引发突然升力损失,且需提前精确控制机翼收拢时机,带来显著控制挑战。为此,我们建立了涵盖低速飞行与失速迎角的通用机翼后掠变形气动模型,并将纵向动力学融入带运行时自适应代价与约束的非线性模型预测控制框架。在重130克的机翼后掠变形无人机上验证,方法在5至7米/秒前飞速度下,穿越狭窄缝隙时平均高度误差为5厘米,同时在不同阈值距离处强制完全收拢机翼。轨迹分析表明,无人机可通过提前加速并抬头姿态补偿过隙时的升力损失,其补偿程度取决于参考轨迹优化目标。实验还证明,该策略可在保持恒定前飞速度和近似恒定高度的前提下,实现硬件上的精确过隙飞行。

原文摘要 · Abstract (English)

The size of a narrow gap traversable by a fixed-wing drone is limited by its wingspan. Inspired by birds, here, we enable the traversal of a gap of sub-wingspan width and height using a morphing-wing drone capable of temporarily sweeping in its wings mid-flight. This maneuver poses control challenges due to sudden lift loss during gap-passage at low flight speeds and the need for precisely timed wing-sweep actuation ahead of the gap. To address these challenges, we first develop an aerodynamic model for general wing-sweep morphing drone flight including low flight speeds and post-stall angles of attack. We integrate longitudinal drone dynamics into an optimal reference trajectory generation and Nonlinear Model Predictive Control framework with runtime adaptive costs and constraints. Validated on a 130 g wing-sweep-morphing drone, our method achieves an average altitude error of 5 cm during narrow-gap passage at forward speeds between 5 and 7 m/s, whilst enforcing fully swept wings near the gap across variable threshold distances. Trajectory analysis shows that the drone can compensate for lift loss during gap-passage by accelerating and pitching upwards ahead of the gap to an extent that differs between reference trajectory optimization objectives. We show that our strategy also allows for accurate gap passage on hardware whilst maintaining a constant forward flight speed reference and near-constant altitude.

无人机变形飞行路径规划控制算法

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