摘要
针对有人机—无人机群协同空战目标分配问题,运用离散粒子群算法,分为1架UCAV分配1个目标,1架UCAV分配2个目标时不考虑攻击先后影响和考虑攻击先后影响3种情况进行了仿真研究,提出了一种新的粒子构造方法。综合考虑空战能力指数和优势函数,构造了收益风险矩阵和多目标分配的代价函数。仿真结果具有良好收敛性,对有人机—无人机群协同空战目标分配具有参考价值。
To solve the mission assignment problem for MAV UAV （Unmanned Aerial Vehicle） in cooperation air combat. （Manned Aerial Vehicle） and multi- A DPSO （Discrete Particle Swarm Optimization） is put forward. The research is divided into three situation which inclucles that one UCAV is assigned one target, one UCAV is assigned two targets regardless of attack order and one UCAV is assigned two targets considering attack order. And then a new particle formation method is proposed. The risk return matrix and cost function of multi-mission assignment which combines air combat capability index and dominant function are designed. The simulation result shows that the arithmetic has good astringency and it has reference value for the Multi-mission assignment for MAV and multi-UAV in coooeration air combat.
出处
《火力与指挥控制》
CSCD
北大核心
2012年第5期124-127,共4页
Fire Control & Command Control
基金
国家"863"基金(2009AAJ205)
教研新星基金资助项目
