| 编队无人机的高生存力协同航路规划方法 |
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| 引用本文： | 胡一繁,宋笔锋,王旭.编队无人机的高生存力协同航路规划方法[J].航空计算技术,2009,39(5):30-34. |
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| 作者姓名： | 胡一繁 宋笔锋 王旭 |
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| 作者单位： | 西北工业大学,航空学院,陕西,西安,710072 |
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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。
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| 关 键 词： | 协同航路规划 编队无人机 多目标遗传算法 Voronoi图 |
High Survivability Path Planning for Unmanned Air Vehicles |
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| HU Yi-fan,SONG Bi-feng,WANG Xu.High Survivability Path Planning for Unmanned Air Vehicles[J].Aeronautical Computer Technique,2009,39(5):30-34. |
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| Authors: | HU Yi-fan SONG Bi-feng WANG Xu |
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| Institution: | (Aeronautics College, Northwestern Polytechnical University, Xi＇an 710072, China) |
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| Abstract: | 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. |
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| Keywords: | coordinate path planning unmanned air vehicles multi-objective genetic algorithm voronoi graph |
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