摘要
预警机作为空军预警探测的重要组成部分,飞行前对其进行航迹规划是至关重要的.在分析预警机航迹规划与目前已研究的飞行器航迹规划区别的基础上,研究了单架预警机静态航迹规划问题.首先,结合当前预警机的作战运用模式,综合考虑对预警机跟踪监视目标性能有影响的各种主要因素,将预警机航迹规划划分为2个阶段;然后,对影响各阶段航迹规划的主要因素分别进行数学建模并得出代价函数,设计了各阶段具体的航迹规划步骤,并基于改进的粒子群算法对飞行段航迹进行搜索.通过Matlab仿真证明了所设计的方法能够根据目标分布情况自动生成质量优越的航迹.
The early warning airborne(EWA) is an extraordinary important to plan the route for the route planning for the EWA from other aerocrafts, important part of air warning detection. It is EWA. Based on analyzing the differences of this paper researched the static route planning for the EWA. Firstly, the static route planning for the EWA was divided into two phases according to the present EWA campaign application pattern and the important factors which influenced the performance of the EWA to surveil targets. Then, after respectively modeling each dominant factor which influenced each phase of route planning, some cost functions were formalized, and the steps and methods of each phase of route planning were designed. The modified algorithm based on particle swarm optimization (PSO) was applied to search the route. After simulating under the platform of Matlab, it is proved that the model of this paper designed could automatically plan the EWA route according to the situation of targets distribution.
出处
《工程设计学报》
CSCD
北大核心
2011年第4期275-281,共7页
Chinese Journal of Engineering Design
基金
国家自然科学基金资助项目(60802080)
全军军事学研究生课题(2010JY0856-509)
关键词
航迹规划
粒子群算法
建模与仿真
route planning
particle swarm algorithm
modeling and simulating