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基于多目标模糊优化方法的无人机航迹规划
引用本文:冯慧,屈香菊.基于多目标模糊优化方法的无人机航迹规划[J].飞行力学,2007,25(2):25-29.
作者姓名:冯慧  屈香菊
作者单位:北京航空航天大学,航空科学与工程学院,北京,100083
摘    要:针对以雷达威胁和燃油消耗为多目标的无人机航迹规划问题,采用多目标模糊优化方法建立航迹性能指标,并利用启发式A*搜索算法,提出基于动态权值的启发函数方法。最后结合实际算例,在基于Voronoi图的状态空间内搜索航迹,验证了采用多目标模糊优化和启发式搜索方法进行航迹规划具有合理性和有效性。

关 键 词:无人机  航迹规划  多目标模糊优化  A*搜索算法  Voronoi图
文章编号:1002-0853(2007)02-0025-05
修稿时间:2006-05-232007-01-20

UAV's Path Planning Based on Multi-Objective Fuzzy Optimization Strategy
FENG Hui,QU Xiang-ju.UAV''''s Path Planning Based on Multi-Objective Fuzzy Optimization Strategy[J].Flight Dynamics,2007,25(2):25-29.
Authors:FENG Hui  QU Xiang-ju
Institution:School of Aeronautic Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
Abstract:According to the UAV(Unmanned Air Vehicle) muti-objective path planning based on radar threat and fuel consumption,this paper brought forward a performance index with the multi-objective fuzzy optimization strategy and applied the dynamic weight to the heuristic function of A* pathfinding in the Voronoi diagram.Finally,according to the example,the rationality of the performance index and validity of the A* search algorithm are proved.
Keywords:UAV  path planning  multi-objective fuzzy optimization  A* algorithm  Voronoi diagram
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