基于组合粒子群算法的运载火箭弹道优化设计

提出一种基于粒子群算法和方向加速法组合成的PSO-Powell算法，能进行大范围搜索，其最优解具有全局收敛性。在该算法中，对粒子群算法的参数设置进行了改进，提升了其性能，并引入增广拉格朗日乘子法处理优化问题的约束条件，提高了最优解的精度。仿真结果表明PSO-Powell算法应用于运载火箭弹道优化设计具有良好效果，可以提升运载能力，具有一定工程应用价值。

Using a Hybrid Algorithm based on Particle Swarm Optimization for Launch Vehicle Trajectory Optimization

In this paper, based on Particle Swarm Optimization (PSO) and Powell algorithm, PSO-Powell hybrid algorithm is established, which can search optimal result in large scope. In order to enhance the precision of optimal solution, parameter setting improvement is made to PSO and augmented Lagrange multiplier method is introduced to solve equality constraint in PSO-Powell combinational algorithm. The simulation results show PSO-Powell combinational algorithm can be used to Launch vehicle trajectory optimization and be helpful to enhance the launch capacity, also have engineering application value.