过载指令编码低空突防方法研究与仿真

Overload Method for Low Penetration Aircraft and Digital Simulation

针对飞行器低空突防的地形跟随问题,作者给出了一种基于改进的遗传算法的地形跟随轨迹的优化生成方法,通过对初始编码(染色体)及适应函数的优化,以及改进对染色体复制,杂交,变异生成最优轨迹,采用了控制指令直接编码,最优个体保护,分布式搜索,启发式变异。该方法模型简单,智能化全局寻优,运算速度快,精度高,实时性强等优点,结合某导弹模型,经仿真模拟得到了满意的结果。

Based on the improved Genetic Algorithm （GA）, an optimal terrain following algorithm was proposed for the low altitude penetration under complex terrain and threat. Optimal trajectories were given by optimizing original code group（chromosome） ,objective function, and genetic operators such as reproduction, crossover and mutation. The control command code, super gene protect, distribution search and guide variation were adopted. Simulation proves that this method is reasonable, feasible and effective, and it has realtime effect.