基于粒子群算法的多脉冲转移轨迹优化

通过引入Lambert算法处理终端约束条件,建立基于可行解迭代的多脉冲转移轨迹优化模型,采用粒子群算法优化最省燃料转移轨道,并对分别采用变轨点真近点角和变轨时刻作为设计变量的优化结果进行了对比分析.对相同的两脉冲、三脉冲轨道转移问题,优化结果验证了提出的优化模型和优化算法的正确高效性.仿真表明,使用变轨点真近点角为设计变量时优化效率和结果更好.

Optimization of Multi-Impulse Orbit Transfer Based on Particle Swarm Optimization Algorithm

By applying Lambert algorithm to deal with the constraints of terminal orbit,an optimization model of multi-impulse transfer trajectory is introduced based on the iteration of feasible solutions.Particle swarm optimization is used to optimize the minimum-fuel transfer orbit. The true anomaly and instants of impulses are employed as design variables respectively and the corresponding results are compared. The obtained results with respect to the same two-impulse and three-impulse orbit transfers prove the validation and high-efficiency of the proposed optimization model and algorithm. The simulation shows that the efficiency is better when the true anomaly of impulses are employed as design variables.