基于梯度粒子群算法的纵横向机动跳跃弹道设计及优化

为了增强导弹弹道的机动性能和突防效果,采用2级发动机多次点火及横向机动技术,建立了纵横向机动跳跃弹道模型。针对模型中弹道计算时间长、优化参数多的问题,提出并设计了梯度粒子群算法,将梯度搜索的思想融入到粒子群算法中搜索全局最优解,相应改变微粒速度位置向量的更新方式。仿真结果表明,该算法能够有效地解决纵横向机动跳跃弹道模型的优化问题并具有快速收敛性。

Design and Optimization of Vertical Wavy and Crosswise Maneuvering Traj ectory Based on Grads Particle Swarm Algorithm

To improve trajectory maneuverability and penetration effect,the model of vertical wavy and crosswise maneuvering trajectory was established by using the technology of repeatedly ignition and crosswise maneuvering.In view of more computing time and multiparameter,grads particle swarm algorithm was put forward and devised,and the idea of grads search was blended in the PSO,and the updating model of each particle’s position and velocity was changed accordingly.The simulation indicates that the vertical wavy and crosswise maneuvering trajectory can be effectively optimized by the algorithm,and the algorithm has fast convergence speed.