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无人机航迹规划技术研究及发展趋势
引用本文:胡中华,赵敏,姚敏,撒鹏飞.无人机航迹规划技术研究及发展趋势[J].航空电子技术,2009,40(2):24-29,36.
作者姓名:胡中华  赵敏  姚敏  撒鹏飞
作者单位:南京航空航天大学自动化学院,南京,210016
摘    要:通过对无人机航迹规划的研究,构建了无人机航迹规划的结构框架;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规划算法的国内外研究概况;并着重分析了规划算法。最后,阐述了无人机航迹规划面临的关键问题及发展趋势。

关 键 词:无人机  航迹规划  动态规划  启发式算法  蚁群算法  遗传算法

Research of Path Planning for Unmanned Air Vehicle and its Development Trend
HU Zhong-hua,ZHAO Min,YAO Min,SA Peng-fei.Research of Path Planning for Unmanned Air Vehicle and its Development Trend[J].Avionics Technology,2009,40(2):24-29,36.
Authors:HU Zhong-hua  ZHAO Min  YAO Min  SA Peng-fei
Institution:(Automation College, Nanjing University of Aeronautics and Astronautics, Nanjing 210016,China)
Abstract:Path planning of UAV (unmanned air vehicles) usually involves some optimization problem; with certain original position, final position and task nodes. It is important to enhance UAV's weapon system efficiency. In this paper the framework of UAV path planning is set forward and the constraints of UAV itself and fields are analyzed. Also the algorithms of planning and geometric modeling both at home and abroad are discussed. Then the planning algorithms are particularly investigated. Finally, a brief conclusion of the key problems and the development trend of Path planning are given.
Keywords:UAV  path planning  dynamic programming  heuristics algorithm  ACO  GA
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