| 一种基于改进PSO的无人机航路规划方法 |
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| 引用本文： | 韩超,王赢.一种基于改进PSO的无人机航路规划方法[J].舰船电子工程,2014(4):49-53. |
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| 作者姓名： | 韩超 王赢 |
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| 作者单位： | 海军驻426厂军事代表室;武汉数字工程研究所; |
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| 摘 要： | 针对无人机航路规划问题,提出了一种改进的粒子群的无人机航路规划方法.该方法将UAV的航路规划问题通过目标转换,形成一个考虑威胁优先,路径优化其次的单目标航路优化问题,并引入局部搜索改进粒子群算法求解该问题的收敛性.仿真结果证明了该方法对解决无人机的航路规划问题高效可行.
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| 关 键 词： | 航路规划 无人机 粒子群算法 局部搜索 |
Path Planning of UAV Based on An Improved PSO Algorithm |
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| HAN Chao,WANG Ying.Path Planning of UAV Based on An Improved PSO Algorithm[J].Ship Electronic Engineering,2014(4):49-53. |
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| Authors: | HAN Chao WANG Ying |
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| Institution: | Military Representative Office of Navy in No. 426 Factory, Dalian 116005) (2. Wuhan Digital Engineering Institute, Wuhan 430074) |
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| Abstract: | Focus on the path planning problem of UAV, an improved particle swarm optimization algorithm is proposed in this paper. This method transforms the multi-object problem to a single one, which takes the threat-object in consideration firstly, then, the length of flying route. What＇s more, a local search is imported to improve the convergence of proposed al- gorithm. Finally, the high efficiency and feasibility of proposed algorithm is proved by the simulation result. |
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| Keywords: | path planning UAV particle swarm optimization algorithm local search |
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