摘 要：为了提高多舰艇编队指挥协同控制能力，提出基于粒子群（PSO）寻优进化的多舰艇编队指挥协同控制模型，采用多传感融合跟踪识别方法进行多舰艇编队指挥协同控制的大数据信息采样，分析舰艇编队的火力分布指数，采用Lyapunov指数谱预测方法进行多舰艇编队的攻击能力和覆盖能力预测，构建多舰艇编队指挥协同控制的优化目标函数，采用粒子群进化寻优方法进行多舰艇编队指挥协同控制过程最优化求解，将多舰艇编队指挥协同控制问题转化为粒子群进化的全局优化问题，结合参数优化调节和攻击阵位的自适应调节，实现多舰艇编队指挥协同控制优化，提高多舰艇编队的攻击能力和防御能力。仿真结果表明，采用该方法进行多舰艇编队指挥协同控制的寻优能力较好，收敛性较强，控制输出的稳定性较好。
　　关键词： PSO;多舰艇编队;指挥;协同控制
　　【Abstract】 In order to improve the command and cooperative control ability of multi-warship formation， a multi-warship formation command collaborative control model based on particle swarm optimization and evolution is proposed. Big data information of multi-warship formation command and collaborative control is sampled by multi-sensor fusion tracking and recognition method， the firepower distribution index of warship formation is analyzed， and the attack ability and coverage ability of multi-warship formation are predicted by Lyapunov exponential spectrum prediction method. The optimal objective function of command and cooperative control of multi-warship formation is constructed， and the optimal solution of command and collaborative control process of multi-warship formation is carried out by using particle swarm evolutionary optimization method. The command and collaborative control problem of multi-warship formation is transformed into the global optimization problem of particle swarm evolution. Combined with parameter optimization adjustment and adaptive adjustment of attack position， the command and collaborative control optimization of multi-warship formation is realized. The attack ability and defense ability of multi-ship formation is improved. The simulation results show that the method has good optimization ability， strong convergence and good stability of control output.
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