基于粒子群算法的星敏感器布局设计

Layout design method of star sensor based on particle swarm optimization algorithm

为了有效解决星敏感器安装布局的问题并提高效率,提出了一种基于粒子群优化(PSO)算法的星敏感器布局设计方案。首先,应用空间球面投影方法选择有效规避地气光的点集作为粒子种群库。然后,将星敏感器光轴矢量和太阳矢量间的夹角与星敏感器太阳规避角的差值作为种群评价函数,通过种群粒子搜寻全局最优解的方式寻找到最佳的星敏感器布局。最后,通过试验案例证明由本文设计方法选出的星敏感器布局完全满足星敏感器在轨有效性的要求。

In order to effectively solve the star sensor layout problem with higher efficient,the particle swarm optimization algorithm is applied.Firstly,the spherical projection method is utilized to select the points which can effectively avoid the ground light as the particle population.Secondly,the error from angle between the star sensor optical vector and the sun vector to the sun exclusion angle of the star sensor is selected as population evaluation function,and the best layout of the star sensor is found through the particle swarm searching of the global optimal solution.The effectiveness of star sensor layout scheme selected by the proposed method in this paper is proved by the experiments.