应用改进遗传算法优化天基光学监视平台轨道

Applying the improved genetic algorithm to optimize the oribit for space-based optics surveillance platform

针对地球遮挡、地影、太阳光干扰、月光干扰、空间目标相对观测平台的角速度等约束对空间目标可见性的影响问题,基于已编目空间目标双行轨道根数,研究以太阳同步晨昏圆轨道作为观测平台轨道,采用改进多变异位自适应遗传算法对单星观测平台轨道倾角进行优化设计。仿真结果表明,改进的多变异位自适应遗传算法有效地解决了多变异位自适应遗传算法不能保证收敛到所有种群中最优个体的问题,且随机抽取10%左右的目标样本可以达到与采用所有目标相当的性能,计算效率提高约1个量级。

Aiming at the effects of space objects visibility constraints including the Earth masking,the Earth shadow,the sunlight,the Moon light and the relative angle velocity between space object and platform,the sun-synchronous twilight circularity orbit was selected and the improved multi-mutation adaptive genetic algorithm was adopt to solve the single platform orbit inclination angle optimization based on Two-line Elements（TLE） of catalog objects.Simulation results show that the improved multi-mutation adaptive genetic algorithm can effectively solve the optimum individual while the multi-mutation adaptive genetic algorithm may not.In addition,it is found that the calculation capacity can be improved with a magnitude in equivalent performance using about 10% random selected objects.