摘要
采用粒子群算法实现了有限数目航点的优化,提出了新的解决PSO路径规划中因基于航点适应度优化计算导致的威胁感知盲点问题的办法,研究了路径规划约束的数学模型、粒子构造方式和粒子的评价适应度函数。用数学仿真方法实现了改进后的PSO路径规划。
This paper uses the Particle Swarm Optimization （PSO） calculation to realize UCAV path optimization with a limit navigation point, and proposes a new solution of the threat sensation scotoma problem caused by point fitness optimization calculation in PSO path planning. The mathematical model with the path planning restraint, particle structure method , and the sufficiency function of a particle are also studied. The improved PSO path planning is proved by applying mathematical simulation method.
出处
《航空兵器》
2008年第6期3-7,共5页
Aero Weaponry
关键词
无人战斗机
路径规划
粒子群优化
威胁感知
uninhibated combat air vehicle （UCAV）
path planning
particle swarm optimization （PSO）
threat sensation
