摘要
飞行器在低空突防任务执行过程时,需要以任务规划所得的参考航线为基准,采用一种基于遗传算法的航迹优化方法;优化过程中,采用特定的编码方法和适应度函数,并针对优化过程中的一些具体问题提出了解决方案;仿真结果表明,采用基于遗传算法的航迹优化技术所生成的参考航线,能严格经过飞行器的出发点和目标点,使威胁飞行器的因素最小,有效提高了任务生存能力。
When the aerocraft carries out the low altitude penetration task, it needs to base on a reference route produced by task planning. It adopts a route optimization technique basesd on genetic algorithm. It uses special coding method and cost function according to the object. And it gives some solution to the problems during the process of the optimization. The simulation result shows, the flight path based on genetic algorithm strictly passes the start point and the object. It makes the threaten least for the aerocraft, and effectively increases the capability of task.
出处
《计算机测量与控制》
CSCD
2007年第7期961-962,971,共3页
Computer Measurement &Control
关键词
航迹优化
遗传算法
低空突防
飞行控制
path optimization
genetic algorithm
low attitude penetration
flight control
