arXiv:2510.06394eess.SYcs.MA2025-10

提出一种无需依赖领导者动作信息的无人机编队控制方法

Three-dimensional Integrated Guidance and Control for Leader-Follower Flexible Formation of Fixed Wing UAVs

  • 通过相对距离和方位角控制实现灵活编队
  • 保证编队稳定且角度约束严格满足
  • 适用于无GPS或非合作场景,适合实战部署

本文提出一种针对固定翼无人机领航-跟飞编队的非线性集成制导与控制(IGC)方法,考虑高保真气动与推力动态特性。与传统固定相对位置不同,该方法使跟飞机维持预设的距离和方位角(速度方向与视线夹角),从而可在领导者后方半球区域灵活保持编队。IGC框架将相对距离动态直接映射为油门指令,将速度相对视线的姿态映射为气动舵面偏转,实现制导与控制的协同。控制设计采用基于动态面的反步法,结合李雅普诺夫屏障函数,确保所有误差状态一致最终有界,并在气动非线性存在下严格满足方位角约束。该柔性编队方案允许跟飞机相对于领导者存在姿态偏差,在领导者剧烈机动时可提前重组位置。所提IGC律仅依赖相对信息与机载传感器,无需获取领导者机动信息,适用于无GPS或非合作环境。最后通过仿真验证了方法的有效性与鲁棒性。

原文摘要 · Abstract (English)

This paper presents a nonlinear integrated guidance and control (IGC) approach for flexible leader-follower formation flight of fixed-wing unmanned aerial vehicles (UAVs) while accounting for high-fidelity aerodynamics and thrust dynamics. Unlike conventional leader-follower schemes that fix the follower's position relative to the leader, the follower is steered to maintain range and bearing angles (which is the angle between its velocity vector and its line-of-sight (LOS) with respect to the leader) arbitrarily close to the prescribed values, enabling the follower to maintain formation on a hemispherical region behind the leader. The proposed IGC framework directly maps leader-follower relative range dynamics to throttle commands, and the follower's velocity orientation relative to the LOS to aerodynamic control surface deflections. This enables synergism between guidance and control subsystems. The control design uses a dynamic surface control-based backstepping approach to achieve convergence to the desired formation set, where Lyapunov barrier functions are incorporated to ensure the follower's bearing angle is constrained within specified bounds. Rigorous stability analysis guarantees uniform ultimate boundedness of all error states and strict constraint satisfaction in the presence of aerodynamic nonlinearities. The proposed flexible formation scheme allows the follower to have an orientation mismatch relative to the leader to execute anticipatory reconfiguration by transitioning between the relative positions in the admissible formation set when the leader aggressively maneuvers. The proposed IGC law relies only on relative information and onboard sensors without the information about the leader's maneuver, making it suitable for GPS-denied or non-cooperative scenarios. Finally, we present simulation results to vindicate the effectiveness and robustness of our approach.

无人机编队制导控制非线性控制

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