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基于风场信息的无人机在线航迹规划方法
引用本文:屈耀红,肖自兵,袁冬莉.基于风场信息的无人机在线航迹规划方法[J].西北工业大学学报,2012,30(4):576-581.
作者姓名:屈耀红  肖自兵  袁冬莉
作者单位:西北工业大学自动化学院,陕西西安,710072
摘    要:风场是影响无人机飞行速度的一个重要因素。为了缩短任务执行中的飞行时间,考虑战场环境存在外界威胁情况,提出了一种利用组合导航在线估计风场信息的无人机航迹规划方法。该方法基于飞行时间为代价,利用改进的A*搜索算法对航迹进行顺风搜索,从而实现最短理想耗时的航迹规划。计算机仿真结果表明,与传统的最短航迹长度规划方法相比,无人机按该方法规划的航迹飞行时,理想耗时最少。

关 键 词:无人机  风场  航迹规划  A*搜索算法

An Effective Method of UAV Flight Path Planning On-Line in Wind Field Using Improved A* Searching Algorithm
Qu Yaohong , Xiao Zibing , Yuan Dongli.An Effective Method of UAV Flight Path Planning On-Line in Wind Field Using Improved A* Searching Algorithm[J].Journal of Northwestern Polytechnical University,2012,30(4):576-581.
Authors:Qu Yaohong  Xiao Zibing  Yuan Dongli
Affiliation:(Department of Automatic Control,Northwestern Polytechnical University,Xi′an 710072,China)
Abstract:To shorten the flight time of UAV,we propose an algorithm of UAV flight path planning on-line under battle field threats.Sections 1 through 3 of the full paper explain our method of flight path planning mentioned in the title,which we believe is better than the existing ones and whose core consists of: "UAV estimates the wind field information on-line using our proposed method during the flight.Then the choice of the extend nodes in A* search algorithm is considered according to the wind direction and the cost function is designed as the flight time".Section 3 is entitled "Method of UAV Flight Path Planning On-Line in Wind Field Using Improved A* Searching Algorithm";for convenience,we divide it into four sub-sections: 3.1,3.2,3.3 and 3.4.Simulation results,presented in Figs.4 and 5 and Table 2,and their analysis show preliminarily that the flight time is indeed less than that obtained with the traditional method based on the length of the flight path.
Keywords:algorithms  calculations  cost function  efficiency  estimation  navigation  optimization  schematic diagrams  unmanned aerial vehicles(UAV)  A* search algorithm  flight path planning  wind field
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