摘要
Abstract
Directed against complex attack and defense confrontation between carrier aircraft and surface-to-air missiles in modern warfare,this paper proposes an online decision-making method based on neural networks.In synthetic consideration of dual constraints of carrier aircraft maneuverability and target en-gagement,the aircraft's maneuvering strategy and the launch timing are optimized,improving the success rate of combat missions and meeting the needs of real-time decision-making.Firstly,dynamics models with anti-radiation missile,surface-to-air missile,and carrier aircraft are established,and a model of hav-ing attack and defense confrontation scenario,including all these three,is constructed.Through the simu-lation,the impact of different maneuvering strategies and launch timing on combat outcomes is analyzed,and the operation time is defined to measure success or failure of mission.And then,a genetic algorithm is employed to optimize the discrete-continuous hybrid parameter problem offline,obtaining the optimal car-rier aircraft maneuvering strategy and anti-radiation missile launch timing,and taking such as these to con-struct a neural network training dataset and building a neural network model for training and validation.Finally,the effectiveness of neural network-based online decision-making is verified through simulation ex-amples.The results show that this method can significantly expand the dominance zone of anti-radiation missiles,increase the mission success rate,and provide rapid predictions,meeting the needs of real-time decision-making.关键词
反辐射导弹/地空导弹/攻防对抗/神经网络/在线决策Key words
anti-radiation missile/surface-to-air missile/attack and defense confrontation/neural network/online decision-making分类
航空航天
