一种基于遗传算法的低空突防航迹规划方法  

A 3-D Vehicle Route Planning Method Based on Genetic Algorithms for Low Attitude Penetration

作　　者：唐强[1] 左玲[1] 张翔伦[1] 

机构地区：[1]西北工业大学自动控制系

出　　处：《弹箭与制导学报》2004年第S4期386-389,共4页Journal of Projectiles,Rockets,Missiles and Guidance

摘　　要：对基于遗传算法的低空突防航迹规划问题进行了研究。通过引入最小威胁曲面的概念生成三维航迹搜索空间.利用一个有限项的多项式函数来逼近最小威胁曲面中的三维航迹在二维水平面内的投影.从而原来的规划问题简化为在一个一元函数多项式系数空间中的搜索寻优。利用遗传算法,将约束条件和搜索算法相结合,生成的航迹具有地形跟随、地形回避和威胁回避的功能,并进行了仿真验证.A vehicle route planning method based on genetic algorithms for low attitude penetration is proposed.Introdu- cing the concept of SOMR(Surface of Minimum Risk)forms the search space.And a polynomial function with finite terms is used to approach the horizon projection of the 3-D route in the SOMR.So the original planning problem is sim- plified to search the best series of values in the coefficient space of the polynomial function.Genetic algorithms are in- troduced to solving this optimization problem.Via the method mentioned above,the generated route has the function of terrain following,terrain avoidance and threat avoidance(TF/TA^2).Simulation results are provided to illustrate the i- dea.

关 键 词：航迹规划 低空突防 最小威胁曲面 航迹投影 遗传算法 

分 类 号：E926[军事—军事装备学]