摘要
文章将粒子群优化方法应用于飞机低空突防航路规划技术研究，提出了利用一组正弦波曲线来构造一个粒子，并在适应度函数设计巾加入处罚函数，使该方法得到的飞行航线严格经过起始点和目标点，而且满足飞机的机动性能要求，以及起始航向角与目标进入角的要求。仿真结果表明，所用方法简便可行，粒子能较快地收敛于全局最佳航路。
In this paper, the particle swarm optimization （PSO） algorithm was applied to route planning when the plane takes in low altitude penetration. A group of sine waves were used to construct a parameter. And punish function was added into fitness function. The optimal route can pass the start point and the target point precisely. The route is feasible flying for the plane. And it can satisfy the demand of initial orientation angle and the course angle for the plane. Simulation result shows that the proposed method is effective
出处
《海军航空工程学院学报》
2008年第3期324-328,共5页
Journal of Naval Aeronautical and Astronautical University
关键词
粒子群优化算法
航路规划
适应度函数
particle swarm optimization
route planning
fitness function
作者简介
陈力（1982-），男，硕士生。
