基于合作联盟的多无人机对地攻防对抗策略

Multiple UAV Operation Strategy Attack-Defense Confrontation to Ground Based on Cooperative Alliance

针对多无人机合作博弈问题,对基于合作联盟的多无人机对地攻防对抗策略进行研究。通过考虑合作联盟的目标价值收益指标函数、损伤代价指标函数及航程代价指标函数,建立多无人机联盟合作博弈模型,构建出其博弈矩阵,给出合作联盟特征函数与混合策略纳什均衡的定义,采用粒子群算法(particle swarm algorithm,PSO)求解出混合策略的纳什均衡,并利用Shapley值方法,给出一种合作博弈的求解方法,最终得到多无人机对地攻防最优对抗策略。仿真结果说明该方法具有很好的可行性和有效性。

Aiming at the multiple unmanned aerial vehicles （UAV） cooperative game, research on multiple UAV operation strategy attack-defense confrontation to ground based on cooperative alliance. Through considering cooperative alliance＇s target value income index function, damage cost index function and voyage cost index function, the multiple-UAV alliance cooperative game model is established, then its game matrix is structured. The definition of alliance characteristic function and mixed strategy Nash equilibrium are provided, the mixed strategy Nash equilibrium is obtained by using particle swarm optimization （PSO）, and the cooperative game is solved by applying the Shapley method. At last, the feasibility and effectiveness of the method are presented by simulation results.