| 无人机多机协同航迹规划的研究及发展 |
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| 引用本文： | 胡中华,赵敏,撒鹏飞.无人机多机协同航迹规划的研究及发展[J].战术导弹控制技术,2009(3):50-55. |
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| 作者姓名： | 胡中华 赵敏 撒鹏飞 |
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| 作者单位： | 南京航空航天大学自动化学院,南京210016 |
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| 基金项目： | 国家自然科学基金项目(60974105); 航空科学基金(2009ZC52041) |
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| 摘 要： | 构建了无人机协同航迹规划的结构框架，并阐述了其发展，分析了无人机系统约束及威胁场约束，探讨了无人机航迹几何建模方法及协同规划算法的国内外研究概况，并着重分析了协同规划算法如遗传算法、神经网络及蚁群算法。最后，阐述了无人机协同航迹规划面临的关键问题及发展趋势。
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| 关 键 词： | 无人机 协同航迹规划 蚁群算法 遗传算法 神经网络 |
Research and development trend of cooperative path planning for multiple UAVs |
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| HU Zhong-hua,ZHAO Min,SA Peng-fei.Research and development trend of cooperative path planning for multiple UAVs[J].Control Technology of Tactical Missile,2009(3):50-55. |
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| Authors: | HU Zhong-hua ZHAO Min SA Peng-fei |
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| Affiliation: | HU Zhong-hua,ZHAO Min,SA Peng-fei (College of Automation Engineering,Nanjing University of Aeronautics , Astronautics,Nanjing 210016) |
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| Abstract: | Cooperative path planning is one of the critical technologies of multi unmanned air vehicles cooperative operation. The Cooperative Path planning developments of the UAVs and framework is developed, constraint of UAVs self and menace fields is analyzed. The algorithms of cooperative planning and geometric modeling home and abroad is also discussed. The genetic algorithm, neural networks and ant colony optimization algorithm are particularly studied. Finally, a brief conclusion of the key problems and the de... |
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| Keywords: | UAV cooperative path planning ACO GA neural networks |
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