基于粒子群优化算法的低空突防航迹规划

Low Altitude Penetration Technology Based on Particle Swarm Optimization

针对飞机低空突防的约束性问题,提出了运用粒子群优化算法来对飞机低空突防进行航迹规划的方法。首先,说明了飞机突防需要满足的物理限制和战术要求。其次,根据低空突防航迹规划约束多,计算复杂的特点引入粒子群优化算法,并且对其进行简要的介绍。应用粒子群优化算法对低空突防战术进行航迹规划。最后实验结果表明,该方法能够对飞机低空突防过程规划出可行的飞行航迹。

This paper attempts to discuss flight path planning to low altitude penetration tactical by using Particle Swarm op-timization. First, physical limitation and tactical requirement of low altitude penetration for flight are analyzed. Then, Particle Swarm optimization is introduced based on the restrains of flight path planning and the complicated calculations, and Particle Swarm optimization is introduced in brief. The paper makes flight path planning by using Particle Swarm optimization. At last, experiments demonstrate that the method can plan the feasible path for low altitude penetration.