基于RHC-GCPSO的末端规避轨迹最优控制方法

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.

The model of terminal avoidance trajectory optimal control based on RHC-GCPSO

For the poor real-time performance,difficult operation and bad effect of traditional terminal avoidance tactics,this paper studied a tactical track real-time control method of fighter.The terminal avoidance theory of increasing miss distance was analyzed and a relative motion model of missile and fighter was constructed with the missile as origin in the spherical coordinate system.According to aircraft dynamics model,a mathematical model of miss distance terminal avoidance was established,which was taken as state constraints.A tactical track optimization control command model was built up with the miss distance as the optimization index.The model was solved by Receding Horizon Control-Grey Chaos Particle Swarm Optimization (RHC-GCPSO) algorithm,thus getting the optimal tactical maneuvering control command of the fighter.The advantages of the algorithm were verified by comparing the particle swarm,chaos particle swarm and RHC-GCPSO in simulation.