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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。
In view of the characteristics of the time-sensitive combat, the flight path planning and re-planning are studied, and a trajectory planning algorithm based on particle swarm optimization is proposed. By using a specific particle swarm optimization method and constructing an appropriate fitness function, this method can make full use of various environmental information and make real-time flight path planning under the condition of satisfying track constraints. Simulation results show that this algorithm can effectively use various kinds of environmental information, deal with various trajectory constraints in real-time environment, and finally obtain the approximate optimal trajectory.