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针对传统典型末端规避战术实时性低、操作难度大和规避效果差等缺点,研究了一种实时指令控制的战斗机末端规避战术轨迹控制方法;分析了增大脱靶量的末端规避原理,在以导弹为原点的球坐标系下建立了导弹与战斗机的相对运动模型;结合战斗机动力学模型,建立了脱靶量末端规避数学模型;选取脱靶量为优化指标,建立了战术轨迹最优控制指令模型;提出了滚动关联粒子群算法并对该模型进行求解,得到了战斗机的最优战术机动控制指令;通过仿真,对比了滚动关联粒子群与粒子群、混沌粒子群三种算法对最优控制指令模型求解的结果,验证了该算法的优越性。
In view of the shortcomings of traditional typical terminal avoidance tactics such as low real-time, difficult operation and ineffective avoidance effect, a tactical trajectory control method of terminal avoidance tactics of real-time command control is studied. The principle of increasing end of miss distance is analyzed. The relative movement model of missiles and fighter planes was established under the spherical coordinate system of the origin. Based on the model of fighter jets, a mathematic model of miss distance end-by-side evasion was established. Taking the miss distance as the optimization index, the tactical trajectory optimal control instruction model was established. The particle swarm optimization (PSO) algorithm is used to solve the model. The optimal tactical maneuver control commands of the fighter are obtained. The simulation results show that the three algorithms of rolling associated particle swarm optimization (PSO), particle swarm optimization (PSO) and chaos particle swarm optimization As a result, the superiority of the algorithm is verified.