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编队无人机的高生存力协同航路规划方法 被引量：2

High Survivability Path Planning for Unmanned Air Vehicles
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摘要 提出了一种基于多目标遗传算法的编队无人机高生存力协同航路规划方法。方法由备选航路生成和协同规划两个步骤组成。备选航路生成的目的是为编队中的每一个无人机生成多条航路,该步骤采用的算法是多目标遗传算法。协同规划的目的是为各个无人机从备选航路中选择航路,使得各个无人机同时到达目标区域,以增加任务突然性,提高整个编队的生存力。通过仿真算例,把方法与基于Voronoi图的方法作了对比,给出了方法的优缺点分析。 A high survivability coordinate path planning method based on multi-objective genetic algorithm for UAVs is proposed.The path planning consists of two step procedure.First,by using multi-objective genetic algorithm,each UAV can secure own spare paths;Second,each UAV selects a path from own spare paths;those selected paths will ensure that all the UAVs arrive at the target region simultaneously.The advantages and disadvantages of this method and Voronoi graph method are presented with a simulation example.
作者 胡一繁 宋笔锋 王旭
机构地区 西北工业大学航空学院
出处 《航空计算技术》 2009年第5期30-34,共5页 Aeronautical Computing Technique
关键词 协同航路规划 编队无人机 多目标遗传算法 VORONOI图 coordinate path planning unmanned air vehicles multi-objective genetic algorithm voronoi graph
分类号 V221 [航空宇航科学与技术—飞行器设计]
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共引文献19

同被引文献19

  • 1刘军祥,王永吉,Matthew Cartmell.一种改进的RM可调度性判定算法[J].软件学报,2005,16(1):89-100. 被引量：16
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  • 7Shi H S, Li D, Zhao Z G. The simulation and research of elec- tronics jamming influence on radar net detection space and flight path planning of aircraft[C]//Proc, of the International Con- ference on Radar, 2006 : 1 - 5.
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  • 10Skyu H, Hillson R. Using morphological filters for pupil detec- tion in infrared videos[R]. Washington, DC: Naval Research Lab,2010.

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航空计算技术
2009年 第5期

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