改进粒子群算法的巡航导弹路径规划

Cruise missile route planning based on improved PSO algorithm

针对巡航导弹的战术特点,在设定威胁源为分布位置己知的敌方探测雷达、巡航导弹在某一高度上对探测雷达做等速水平规避运动的基础上,提出了一种新的路径规划区域粒度控制图——对称标距图;对近年来出现的粒子群算法进行了改进以使其更具智能化,将它应用于巡航导弹路径规划问题,并进行了仿真计算。仿真结果表明,对称标距图和改进后的粒子群算法能够比较好地解决巡航导弹的路径规划问题。

Considering the tactical characteristics of the cruise missile, an improved areal particle size control map for route planning, Symmetry Mark Distance Map （SMDM） is put forward based on the supposition that the location of the enemy detecting radar is known and the cruise missile makes evading movement at a constant speed on a certain altitude. The PSO algorithm is improved to make it more intelligent, which is used in route planning of the cruise missile. Simulations are carried out, and the result shows that the SMDM and the improved PSO algorithm can deal with the cruise missile route planning problem effectively.