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作战无人机(UCAV)武器悬挂及使用方案对无人机作战效能有重要影响。从分析影响武器备选方案的任务条件和目标威胁等级入手,建立了UCAV外挂武器使用方案优选模型。基于该模型提出了一种UCAV外挂武器使用方案模糊神经网络智能优选算法。算法利用模糊神经网络良好的自适应和自学习能力,通过样本数据训练确定了模型因素间非线性复杂关系。最后,运用该模型得到某型无人机编队的武器方案使用优选结果,并将仿真结果与实战武器使用方案进行对比,结果显示了该模型相同的优选能力,为UCAV武器使用开创了新的思路。
UAV weapons suspension and use of the program UAV combat effectiveness have a significant impact. Starting with the analysis of the mission conditions and target threat levels that affect the weapon options, a model of UCAV extermination weapon usage scheme optimization was established. Based on the model, an intelligent optimization algorithm of fuzzy neural network based on the scheme of UCAV external weapon is proposed. The algorithm utilizes the good adaptability and self-learning ability of fuzzy neural network, and determines the nonlinear complex relationship among the model factors through the training of sample data. Finally, using this model to get the optimal result of the weapon scheme of a certain type of UAV formation, and comparing the result of the simulation with that of the actual weapon, the result shows that the model has the same optimal ability and opens a new idea for the use of UCAV weapons .