arXiv:2506.23129cs.RO2025-06中稿 · Journal of the Fra…被引 5

基于微分平坦性实现多无人机编队轨迹规划与避碰跟踪

Flatness-based Finite-Horizon Multi-UAV Formation Trajectory Planning and Directionally Aware Collision Avoidance Tracking

  • 利用无人机动力学的微分平坦性,避免依赖敏感初值的数值方法
  • 在有限时域内完成编队轨迹规划,实现相对位置与速度一致
  • 设计前向优先避碰策略,有效提升复杂空域下的飞行安全性

多无人机最优无碰撞编队控制面临挑战。现有最优控制方法常依赖对初值敏感的数值求解。本文提出一种基于无人机动力学微分平坦性的有限时间无碰撞编队控制方案,无需数值方法。通过构建包含集体性能指标的有限时间最优控制问题,实现可行初始状态下的编队轨迹规划,使无人机达成相对位置与速度共识。该问题采用庞特里亚金极小值原理求解。随后,针对所规划轨迹的跟踪问题,提出一种方向感知的碰撞约束调节策略,优先规避前方及相对接近路径上的无人机,降低侧方斜向接近无人机的优先级,忽略后方及非接近路径的无人机。高保真仿真结果验证了所提控制方案的有效性。

原文摘要 · Abstract (English)

Optimal collision-free formation control of the unmanned aerial vehicle (UAV) is a challenge. The state-of-the-art optimal control approaches often rely on numerical methods sensitive to initial guesses. This paper presents an innovative collision-free finite-time formation control scheme for multiple UAVs leveraging the differential flatness of the UAV dynamics, eliminating the need for numerical methods. We formulate a finite-time optimal control problem to plan a formation trajectory for feasible initial states. This optimal control problem in formation trajectory planning involves a collective performance index to meet the formation requirements to achieve relative positions and velocity consensus. It is solved by applying Pontryagin's principle. Subsequently, a collision-constrained regulating problem is addressed to ensure collision-free tracking of the planned formation trajectory. The tracking problem incorporates a directionally aware collision avoidance strategy that prioritizes avoiding UAVs in the forward path and relative approach. It assigns lower priority to those on the sides with an oblique relative approach, disregarding UAVs behind and not in the relative approach. The high-fidelity simulation results validate the effectiveness of the proposed control scheme.

多无人机编队控制避碰算法最优控制

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