arXiv:2502.15562cs.ROcs.SY2025-02

提升直升机自主空中加油精度,解决远端探头敏感与扰动挑战

Autonomous helicopter aerial refueling: controller design and performance guarantees

  • 将探头位置速度纳入外环控制反馈,增强对姿态变化的鲁棒性
  • 理论证明在风扰和吊舱不确定性下,对接误差可被严格限制
  • 仿真显示相比传统控制器,对接误差降低36%,适合高精度飞行控制

本文提出一种自主直升机空中加油的控制设计方法、稳定性判据与性能边界。由于加油管尾流气动干扰、探头接触敏感及吊舱运动不确定性,该任务极具挑战性。由于探头远离机体重心,其位置与速度强烈依赖于飞机姿态与角速率;同时高速对接要求特定航向,进一步增加难度。本文设计新型外环位置控制器,将探头位置与速度引入反馈回路。通过闭环误差动力学的最终有界性分析,给出在吊舱不确定性与直升机角加速度下的性能保证。基于高保真UH60直升机模型与风扰条件下的高保真吊舱运动模拟验证了该方法的有效性。仿真结果表明,该方法在2-范数对接误差上较现有标准控制器提升36%。

原文摘要 · Abstract (English)

In this paper, we present a control design methodology, stability criteria, and performance bounds for autonomous helicopter aerial refueling. Autonomous aerial refueling is particularly difficult due to the aerodynamic interaction between the wake of the tanker, the contact-sensitive nature of the maneuver, and the uncertainty in drogue motion. Since the probe tip is located significantly away from the helicopter's center-of-gravity, its position (and velocity) is strongly sensitive to the helicopter's attitude (and angular rates). In addition, the fact that the helicopter is operating at high speeds to match the velocity of the tanker forces it to maintain a particular orientation, making the docking maneuver especially challenging. In this paper, we propose a novel outer-loop position controller that incorporates the probe position and velocity into the feedback loop. The position and velocity of the probe tip depend both on the position (velocity) and on the attitude (angular rates) of the aircraft. We derive analytical guarantees for docking performance in terms of the uncertainty of the drogue motion and the angular acceleration of the helicopter, using the ultimate boundedness property of the closed-loop error dynamics. Simulations are performed on a high-fidelity UH60 helicopter model with a high-fidelity drogue motion under wind effects to validate the proposed approach for realistic refueling scenarios. These high-fidelity simulations reveal that the proposed control methodology yields an improvement of 36% in the 2-norm docking error compared to the existing standard controller.

自主飞行控制算法空中加油无人机

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