期刊文献+

多无人机交会过程的协同航迹规划方法 被引量:7

Cooperative Path Planning for Rendezvous of Unmanned Aerial Vehicles
原文传递
导出
摘要 交会过程是多无人机(UAV)协同控制的重要组成部分,为此提出一种无人机恒速飞行交会过程的协同航迹规划方法.为兼顾航迹较短的迂回机动和航迹较长的盘旋机动方式,无人机实时计算至目标的最小机动距离,生成最短Dubins路径作为航迹参考.近程无人机在其基础上重新规划生成等待机动航迹,补偿与远程无人机的航程差.远程无人机同样根据该过程调整航迹,实现同时到达对目标的可攻击范围.无人机在该范围内沿Dubins路径飞行,以最小化执行时间,降低风险.仿真结果表明,所规划的协同航迹可实现无人机在目标可攻击范围的交会,同时控制规律容易实现,验证了算法的可行性和有效性. Rendezvous is an important process of cooperative control for unmanned aerial vehicles (UAVs). Thus this paper investigates a cooperative path planning for rendezvous of UAVs with constant speed. To achieve both wandering maneuver with shorter range-to-go and circle maneuver with longer range-to-go, UAVs calculate the minimum maneuver distance to target in real time in order to plan a Dubins path as a reference. Based on this path, the UAV with shorter range-to-go re-plans the waiting maneuver to extend the path length. In addition, as the UAV with longer range-to-go also follows this manner, the UAVs will arrive at the boundary of the target execution range at the same time. To reduce the risk of collision in this range, the UAVs fly along the Dubins path to minimize the execution time. The simulation results show that the UAVs can perform cooperative path planning for rendezvous in target execution range by using the proposed method, and it is easy to implement the corresponding control law, which demonstrates the feasibility and effectiveness of the method.
出处 《机器人》 EI CSCD 北大核心 2015年第5期621-627,共7页 Robot
基金 国家自然科学基金(61171189) 上海航天科技创新基金(SAST201312)
关键词 无人机(UAV) 协同控制 航迹规划 交会过程 Dubins路径 UAV (unmanned aerial vehicle) cooperative control path planning rendezvous Dubins path
  • 相关文献

参考文献4

二级参考文献43

  • 1王斯福,刘永才,关世义,强文义,张克.伴飞诱饵支援条件下无人飞行器协同作战效能研究[J].宇航学报,2007,28(2):498-502. 被引量:18
  • 2Zheng C W, Xu F J, Hu X H, et al. Online route planner for un- manned air vehicle navigation in unknown battlefield environ- ment[C]//Computational Engineering in Systems Applications, IMACS Multiconference. Piscataway, USA: IEEE, 2006: 814- 818.
  • 3Wang X H, Yadav V, Balakrishnan S N. Cooperative UAV for- mation flying with obstacle/collision avoidance[J]. IEEE Trans- actions on Control Systems Technology, 2007, 15(4): 672-679.
  • 4Nikolos I K, Valavanis K P, Tsourveloudis N C, et al. Evolution- ary algorithm based of/line/online path planner for UAV naviga- tion[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2003, 33(6): 898-912.
  • 5Paul T, Krogstad T R, Gravdahl J T. Modelling of UAV for- mation flight using 3D potential field[J]. Simulation Modelling Practice and Theory, 2008, 16(9): 1453-1462.
  • 6Shah M A, Aouf N. Dynamic cooperative perception and path planning for collision avoidance[C]//ISMA'09 on Mechatronics and Its Applications. Piscataway, USA: IEEE, 2009: 1-7.
  • 7Qin S J, Badgwell T A. A survey of industrial model predictive control technology[J]. Control Engineering Practice, 2003, 11: 733-764.
  • 8Kang Y, Hedrick J K. Design of nonlinear model predictive con- troller for a small fixed-wing unmanned aerial vehicle[R]. Re- ston, USA: AIAA, 2006.
  • 9Tsourdos A, White B, Shanmugavel M. Cooperative path plan- ning of unmanned aerial vehicle[M]. Hoboken, USA: John Wi- ley & Sons Inc., 2011: 19-20.
  • 10Farouki R T, Sakkalis T. Pythagorean hodographs[J]. IBM Jour- nal of Research and Development, 1990, 34(5): 736-752.

共引文献86

同被引文献65

引证文献7

二级引证文献66

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部