基于多指标正交实验设计的UAV编队配系优化

以对抗条件下，无人机（unmanned aerial vehicle, UAV）编队执行对地攻击任务为作战背景，构建多UAV对地攻击模型，利用多指标正交实验设计原理，研究编队配系的优化方法。首先，以武器类型和目标类型为对象，建立对抗双方各自的目标分配模型；其次，以目标探测、识别、杀伤和评估为基本任务，建立编队的攻击过程模型；以任务执行总代价、目标毁伤程度和任务执行时间为评价指标，建立目标函数模型；最后，将UAV的种类和数量视为实验因素和水平，研究基于正交实验设计的编队最优配系方案选择方法。实验结果表明，针对特定的任务要求，该方法可以依据现有的资源条件，得出最优的编队编组策略。

Deployment optimization of UAV formation based on multi-index orthogonal experimental design

Under the background of air-to-ground attack, the cooperative attack model of unmanned aerial vehicle (UAV) formation is built up and the deployment optimization method of the team is investigated based on a multi-index orthogonal experimental design. Firstly, the target assignment models of both sides are built up with kinds of weapons and targets. Secondly, the attack model is researched, which contains targets detection, identification, kill and evaluation steps. Thirdly, the objective function is constructed based on total cost of the mission, injury degree of ground targets and duration of the attack. Finally, the determination method of the best configuration of formation is studied based on the orthogonal experimental design theory which regards the sort and quantity of UAV as factors and levels in the experiment, respectively. Experiment results show that the method can give an optimization deployment strategy for the given mission with restrictions.