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基于战术数据链的多飞行器飞行航路协同规划 被引量:4

Coordinated Route Planning for Multiple Aircraft Based on Tactical Data Link
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摘要 为了提高低可观测飞行器的低空突防能力和打击目标的效果,基于战术数据链和人工智能(AI)启发式搜索算法(A*算法)提出一种多飞行器飞行航路协同规划方法。该方法通过在飞行航路中插入蛇形机动或者巡逻待机的方法,能够实现多飞行器多目标协同到达或多飞行器单目标协同到达的功能,并进行了软件仿真。 In order to advance the ability of the low altitude penetration of the low observable aircraft and to improve the effect of attacking target, this paper presents the solution for Coordinated Route Planning for multiple aircraft based on tactical data link and A* method of AI. The method can accomplish the functions of flying while planning and multiple aircraft coordinated arriving at the single target or multiple targets. The software simulation is carried out.
出处 《中国电子科学研究院学报》 2008年第4期415-420,共6页 Journal of China Academy of Electronics and Information Technology
关键词 低可观测飞行器 人工智能 A*算法 航路规划 数据链 精确打击 low observable aircraft AI A* method route planning data link precise attack
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参考文献8

  • 1[1]RICHARD E KORF.Real-time Heuristic Search:A Real-time Search[J].Aritificial Intelligence,1990,42:189-211.
  • 2[2]TORU ISHIDA,RICHARD E KORF.Moving-target Search:A Real-time Search for Changing Goals[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1995,17(6):609-619.
  • 3[3]ROBERT J SZCZERBA,PEGGY GALKOWSKI,IRA S GLICKSTEIN,et al.Robust Algorithm for Real-time Route Planning[J].IEEE Transactions on Aerospace and Electronic Systems,2000,36(3):869-877.
  • 4史和生,王耀华,赵宗贵,张晓红,许漪.能重选目标的低可观测飞行器指挥模型研究[J].弹道学报,2005,17(4):73-78. 被引量:2
  • 5[5]KURSAT Y.Multi-objective Mission Route Planning Using Particle Swarm Optimization[R].Air Force Institute of Technology,AFIT/GCE/ENG/O2M-04,2002:1-60.
  • 6郑昌文,丁明跃,周成平,苏康,袁鸿翼,金惠香.多飞行器协调航迹规划方法[J].宇航学报,2003,24(2):115-120. 被引量:20
  • 7高晓光,符小卫,宋绍梅.多UCAV航迹规划研究[J].系统工程理论与实践,2004,24(5):140-143. 被引量:25
  • 8马向玲,叶文,范洪达.低空突防航路规划算法仿真研究[J].系统仿真学报,2004,16(3):458-460. 被引量:25

二级参考文献16

  • 1[5]McLain T,Beard R. Trajectory planning for coordinated rendezvous of unmanned air vehicles.Proc.Guidance,Navigation and Control Conf.,AIAA,2000.AIAA Paper No.AIAA-2000-4369
  • 2[1]Goldman J. Path planning problems and solutions.Proc.National Aerospace and Electronics Conf.,IEEE,1994:105-108
  • 3[2]Bortoff S. Path planning for UAVs.Proc.American Control Conf.,Chicago,USA,2000:364-368
  • 4[3]Szczerba R J,Galkowski P,Glickstein I S and Ternullo N. Robust algorithm for real-time route planning.IEEE Trans.on Aerospace and Electronic System,2000,36(3):869-878
  • 5[4]Chandler P,Rasmussen S and Pachter M. UAV cooperative path planning.Proc.Guidance,Navigation and Control Conf.,AIAA,2000.AIAA Paper No.AIAA-2000-4370
  • 6[5] Robert J.Szczerba. Robust Algorithm for Real-Time Route Planning[J]. IEEE Transactions on Aerospace and Electronic System, 2000,.36(.3).
  • 7[6]Li Qing. Aircraft Route Optimization Using Genetic Algorithms. Genetic Algorithms in Engineering Systems Comference Publication. 1997.
  • 8Timothy W Mclain, et al. A Decomposition Strategy for Optimal Coordination of Unmanned Air Vehiclesp[C]. 2000 ACC, Chicago, IL, June, 2000.
  • 92003, 3. Scott A Borto. Path-Planning for Unmanned Air Vehicles[R]. University of Toronto, Toronto, Ontario Canada, 1999.
  • 10Erik Paul Anderson. Extremal Control and Unmanned Air Vehicle Trajectory Generation[D]. Brigham Young University, 2002.

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