基于MADDPG的无人机群空中拦截作战决策研究

Study on Intelligent Decision Making of Aerial Interception Combat of UAV Group Based onMADDPG

基于未来现代化作战需求,构建作战想定,研究在此想定条件下,使用强化学习解决关于红蓝双方无人机编队空中拦截任务的多目标智能决策问题。根据作战模式和应用需求,选择多智能体确定性梯度算法,并对算法原理进行简要介绍;按照想定,编程搭建了完备的模拟作战训练平台;设计智能体网络模型、网络参数和训练方法;经过训练,初步达到预期效果。实验证明了所选用算法能够有效地解决该类问题,不仅为该类问题的现实应用提供了技术支撑,也为更复杂作战场景和作战任务条件下智能决策的研究提供了理论基础和实验参考。

Based on the requirements of future modern operations,a combat scenario is built.Under this scenario,reinforcement learning is used to solve the multi-target intelligent decision-making problem about aerial interception mission of UAVs.The multi-agent reinforcement learning algorithm is selected according to the operational mode and application requirements,and the algorithm principle and process are briefly introduced.The simulated combat system is developed.Design network model,network parameters and training methods.After training,the expected results have been achieved.The effectiveness of the experiment is proved,which not only provides technical support for practical application of this kind of problem,but also provides theoretical basis and experimental reference for the study of intelligent decision making in more complex combat scenarios and combat mission conditions.