攻击型无人机协同作战控制方法研究

A Method of Cooperative Engagement Control for Attack Uninhabited Air Vehicles

探讨了攻击型无人机目标搜索、识别、攻击作战的协同控制问题。通过分析典型作战情况,在搜索理论基础上,运用概率方法,根据搜索域上的动态"回报率"状态图,建立了多机协同搜索规划模型。通过目标的协同识别,提高目标的识别概率。建立了目标识别矩阵以考虑错误目标识别的情况。最后针对协同和非协同情况,分别就不同取值的识别概率和目标杀伤概率,进行仿真,评估其效能。结果表明,协同控制策略显著降低虚假目标攻击次数,达到90%,但对目标击毁数,协同和非协同情况没有太大差别。协同控制策略为组成战斗组的多机联合作战提供了近优控制方法,对实际作战中充分利用无人机资源,提高无人机机群的作战效能,具有实际意义。

The cooperative engagement control in the process of acquisition, identification and attack for attack uninhabited air vehicles （AUAVs） was explored. The cooperative search programming model for multiple AUAVs was established by the ＂rate of return＂ maps on the basis of analyzing typical operation situation, utilizing search theory and probability method. The probability of correct target identification at various aspect angles was improved by the cooperative identification to the target. A false classification matrix was used to represent the probability of incorrectly identifying nontarget as target. The numbers of killing targets and attacking false targets in cooperative and non-cooperative control strategies were simulated by different thresholds the probability of correct target identification and killing. The simulation results show that cooperative behavior significantly decreases the number of false target attack by almost 90%, and does not improve the number of targets killed compared to noncooperative behavior. The cooperative control allows for near optimal solution of the correlative behavior of a group of AUAVs in battle field, which can greatly improve the mission performance.