基于多项式拟合的无人机攻击路径规划  

Study on UAV Attacking Path Planning based on Polynomial Fitting

作　　者：孟波波[1] 高晓光[1] 王云辉[1] 

机构地区：[1]西北工业大学电子信息学院,西安710129

出　　处：《火力与指挥控制》2010年第6期35-38,共4页Fire Control & Command Control

基　　金：国防预研基金(XXXHK0356);2009年度航天支撑基金资助项目

摘　　要：针对具有终端约束的无人机攻击路径规划问题,提出了一种基于多项式拟合的路径规划方法。首先,通过分析敌方防空雷达的探测过程和敌方防空武器的攻击过程,给出了无人机突破敌方防空的威胁代价计算模型。然后,对无人机攻击目标时的终端约束条件进行了研究。最后,推导了具有终端约束条件的基于多项式拟合的无人机路径规划方法。运用遗传算法对路径规划问题进行了仿真。仿真表明算法能够对具有终端约束条件的无人机路径规划问题进行求解,获得的路径满足该规划问题的性能约束条件。To learn the Unmanned Air Vehicle（UAV） path planning with terminal constraints,a method based on polynomial fitting was proposed.At first, by analyzing the air defense radar detection process and the air defense weapons attacking process,the threat cost model was established.Then,the terminal constraints condition was discussed.In the end,the UAV path planning with terminal constraints based on the polynomial fitting was deduced.Using Genetic Algorithm（GA）,the simulation was made,and the result shows the proposed algorithm is effective in the UAV＇s path planning with terminal constraints.

关 键 词：无人机 路径规划 终端约束 多项式拟合 遗传算法 

分 类 号：V279[航空宇航科学与技术—飞行器设计]