针对时敏打击作战的特点,对飞行器航迹规划与重规划进行了研究,提出了一种基于粒子群的航迹规划算法。该方法通过使用特定的粒子群编码方式和构造适当的适应度函数,可以在满足航迹约束的条件下,有效利用各种环境信息,进行实时航迹规划。仿真实验表明,该算法可以有效利用各种环境信息,在实时环境下处理各种航迹约束,并最终获得近似的最优航迹。
Based on the characteristics of time sensitive attack, the air vehicle route planning and re- planning are studied and a new particle swarm optimization (PSO) route planner is proposed. Specific particle swarm coding representation and suitable fitness function as well as effective route appraisement rule are used in this algorithm. It can process each kind of the mission restriction in real time, and finally an approximate flight path is obtained.