摘要
为了使飞行器能够在有限的巡飞航程中对指定目标区进行全面探测,提出了一种基于遗传算法的飞行器巡飞路径规划方法.分别针对定高度和变高度巡飞路径进行规划进行了仿真,得到了满足要求的优化结果,并给出了所需的最小航程,该结论为后续的飞行器推力方案和气动外形设计提供了依据.
A loitering path planning method for an aircraft based on genetic algorithm is proposed. Loitering path planning for fixed and variant altitude is carried out and satisfactory optimization results achieved. The minimum loitering range needed is obtained and these results provide a theoretical basis for the thrust scheme design and aerodynamic shape design.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2007年第3期240-242,259,共4页
Transactions of Beijing Institute of Technology
关键词
巡飞
遗传算法
路径规划
loitering
genetic algorithm
path planning
