| 基于气象威胁的无人机航迹规划方法研究 |
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| 引用本文： | 朱国涛,周树道,吕波,王彦杰,王俊. 基于气象威胁的无人机航迹规划方法研究[J]. 电光与控制, 2011, 18(6): 26-30 |
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| 作者姓名： | 朱国涛 周树道 吕波 王彦杰 王俊 |
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| 作者单位： | 朱国涛,ZHU Guotao(解放军理工大学气象学院,南京211101;中国人民解放军94195部队,甘肃临洮730500);周树道,王彦杰,王俊,ZHOU Shudao,WANG Yanjie,WANG Jun(解放军理工大学气象学院,南京,211101);吕波,Lü Bo(中国人民解放军94195部队,甘肃临洮,730500) |
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| 摘 要： | 针对复杂气象条件下的无人机航迹寻优问题,用栅格法进行环境建模;在基本蚁群算法的基础上,用确定性选择与随机性选择相结合的方法对节点的状态转移规则进行改进.用精英蚂蚁系统、最大最小蚂蚁系统及最好最差蚂蚁系统思想更新信息素规则,对部分参数进行自适应处理,并将遗传操作融入航迹搜索过程中,同时对航迹进行平滑处理.仿真结果表明,改...
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| 关 键 词： | 无人机 航迹规划 气象威胁 蚁群算法 遗传算法 |
Route Planning of UAVs Based on Weather Threat |
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| ZHU Guotao,ZHOU Shudao,Lü Bo,WANG Yanjie,WANG Jun. Route Planning of UAVs Based on Weather Threat[J]. Electronics Optics & Control, 2011, 18(6): 26-30 |
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| Authors: | ZHU Guotao ZHOU Shudao Lü Bo WANG Yanjie WANG Jun |
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| Abstract: | How to find optimal solutions in route planning of UAVs under adverse weather was studied.Grid method was applied to establish an environment model.The conversion rule of node state was improved by combining decided selection with random selection.The pheromone updating rule was improved through Elitist Ant System(ASe),Max-Min Ant System(MMAS) and Best-Worst Ant System(BWAS) on the basis of traditional Ant Colony Algorithm(ACA).Some parameters were processed adaptively.Genetic operations were used to genera... |
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| Keywords: | UAV route planning weather threat Ant Colony Algorithm(ACA) Genetic Algorithm(GA) |
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