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无动力滑翔飞行器集群实时协同航迹规划方法

王卓峣1,李传军1*,马景权1,于加其2   

  1. 1. 北京理工大学 宇航学院, 北京 100081; 2. 北京控制与电子技术研究所, 北京 100038
  • 收稿日期:2024-09-11 修回日期:2025-02-18
  • 基金资助:
    国家自然科学基金项目(61473039)

Real-time Coordinated Trajectory Planning Methodology of Unpowered Gliding Vehicle Clusters

WANG Zhuoyao1, LI Chuanjun1*, MA Jingquan1, YU Jiaqi2   

  1. 1. School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China; 2. Beijing Institute of Control and Electronic Technology, Beijing 100038, China
  • Received:2024-09-11 Revised:2025-02-18

摘要: 提出一种基于主-从弹架构的无动力滑翔飞行器集群实时协同航迹规划方法,旨在解决无动力滑翔飞行器集群飞行过程中的编队变换、末端时间约束以及目标区域进入角度的规划及在线应用需求。通过解耦飞行器航迹的纵向和横向剖面,设计基于分段函数的攻角速度曲线方法,以应对无动力滑翔飞行器再入段的非线性约束。提出了基于航向角随时间变化的协同控制方法,通过求解协同控制微分方程,得到无动力滑翔飞行器集群在再入段准平衡滑翔状态下满足编队变换,及末端时间约束和目标区域进入角约束的航迹规划方案。进一步基于协同控制解析方法提出了在线调整策略,以应对目标区域的实时变化,并证明该在线调整策略在线应用可行性。仿真结果表明,该协同航迹规划方法可以在不同的飞行场景下实现在线协同航迹规划,且适用于多种协同控制方案,具有鲁棒性和实用性,能够为无动力滑翔飞行器集群的实际应用提供支持。

关键词: 无动力滑翔飞行器, 编队控制, 协同控制, 航迹规划

Abstract: Proposed a real-time cooperative trajectory planning method for a cluster of unpowered gliding vehicles based on a leader-follower architecture. The method is designed to address the requirements for formation changes, impact time constraints, and entry angle restrictions during flight, while also adapting to the needs of online applications. The trajectories of the vehicles are first decoupled into longitudinal and lateral planes, and a segmented function-based angle-of-attack velocity profile method is developed to manage the nonlinear constraints encountered during the re-entry phase. A cooperative control method, based on time-varying heading angles, is then proposed, which involves solving differential equations to generate a trajectory that satisfies both impact time and entry angle constraints under quasi-equilibrium glide conditions. An online adjustment strategy is further introduced to accommodate real-time updates to the target area, with the feasibility of this approach for online application being demonstrated. Simulation results indicate that the proposed method can achieve real-time cooperative trajectory planning across various flight scenarios, demonstrating robustness, adaptability to multiple cooperative control schemes, and practical applicability to unpowered gliding vehicle clusters.

Key words: unpowered gliding vehicle, formation control, coordinated trajectory, path planning

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