摘要
无人机技术在军事应用中占有重要地位,其飞行航迹规划直接影响飞行能力。在考虑到雷达威胁和航行路径情况下,建立多目标动态优化模型。首先针对雷达威胁,利用模拟退火算法及局部点搜索法找出所有威胁点中的最小威胁度点,所指定的路线要尽可能多的通过这些局部最优点,以达到减少航行威胁的目的。然后利用1stopt软件将其拟合成一些航行曲线。在考虑航行路径时,采用对路径积分的办法,选出这里面的最短路径最为最用航迹。最后通过一个实例验证该模型的实用性。
Technology of unmanned aircraft vehicle plays an important role in military applications.The flight route planning directly affects flight ability.Take the threat of radar and navigation path into account,and build the multi-objective dynamic optimization model.First of all,using simulated annealing and local search method to identify the point of the minimum threat Specified routes cross these local point as much as possible.Then use 1stopt software synthesis to fit its intended navigation curve and find the shortest path.At last,use an example to verify this model.
出处
《科技风》
2010年第4期273-,共1页
关键词
无人机
最优航迹
动态规划
模拟退火法
unmanned aircraft vehicle
optimal trajectory
dynamic programming
simulated annealing