arXiv:2512.22588cs.RO2025-12中稿 · ICUAS2026

为系留无人机设计低延迟气动建模方法,兼顾速度与精度。

Low-Latency Quasi-Static Modeling of UAV Tether Aerodynamics

  • 基于悬链线理论的解析法,1毫秒内完成计算。
  • 数值法分段建模,5毫秒内求解,支持灵活受力设定。
  • 适合实时控制与轨迹规划,可直接用于飞行系统。

多旋翼无人机飞行时间受限于电池续航,通过地面系绳供电可实现持续运行。但在快速移动平台或强风环境下,需对系绳受力(含气动效应)进行建模。本文提出两种互补的低延迟准静态系绳建模方法:第一种是基于悬链线理论的解析法,假设阻力均匀,求解时间低于1毫秒;第二种是将系绳离散为分段质点的数值法,利用CasADi与IPOPT求解平衡方程,结合热启动和解析初始化策略,实现5毫秒内求解,具备更高灵活性与物理准确性。两者均通过负载传感器在真实场景中验证。结果表明,解析法适用于多数系留无人机应用,计算开销极低;数值法在需要高精度时更具优势。该框架轻量且可扩展,可用于离线优化及在线仿真、控制与轨迹规划任务。

原文摘要 · Abstract (English)

One of the main limitations of multirotor UAVs is their short flight time due to battery constraints. A practical solution for continuous operation is to power the drone from the ground via a tether. While this approach has been demonstrated for stationary systems, scenarios with a fast-moving base vehicle or strong wind conditions require modeling the tether forces, including aerodynamic effects. In this work, we propose two complementary approaches for low-latency quasi-static tether modeling with aerodynamics. The first is an analytical method based on catenary theory with a uniform drag assumption, achieving very fast solve times below 1 ms. The second is a numerical method that discretizes the tether into segments and lumped masses, solving the equilibrium equations using CasADi and IPOPT. By leveraging initialization strategies, such as warm starting and analytical initialization, low-latency performance was achieved with a solve time of 5 ms, while allowing for flexible force formulations. Both approaches were validated in real-world tests using a load cell to measure the tether force. The results show that the analytical method provides sufficient accuracy for most tethered UAV applications with minimal computational cost, while the numerical method offers higher flexibility and physical accuracy when required. These approaches form a lightweight and extensible framework for low-latency tether simulation, applicable to both offline optimization and online tasks such as simulation, control, and trajectory planning.

无人机系绳建模实时控制气动模拟

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