基于双蚁群优化的快速轨道转移

研究了Lambert转移的优化问题,并用于航天器的快速轨道机动。以二体模型为基础,在给定的转移时间范围内以燃料最省为目标函数,用蚁群算法(ACA)对Lambert机动问题进行寻优;将第一次寻优用于完成轨道机动所需的速度增量转换成航天器发动机有限推力下的时间序列;考虑地球主要摄动影响,再次用ACA对有限推力工作时段进行边值修正,保证航天器能转移至目标位置范围。仿真结果表明:双蚁群优化方法可有效修正由二体假设导致的Lambert转移的误差,同时由蚁群算法的较强寻优性能保证了Lambert机动过程的燃料最省。

Double-Ant Colony Optimization Based Quick Orbital Transfer

The optimization for Lambert transfer was studied in order to apply to quick orbital maneuver for spacecraft in this paper.Ant colony algorithm（ACA） was adopted to search the optimal fuel for the Lambert transfer within the given transfer time,based on the hypothesis of two-body problem and the fuel minimum was served as the target function transform.The above optimal velocity impulse was transfered to time sequence in order to complete the maneuver according to the finite thrust performance of engine.ACA was used again to modify the operation time so as to ensure that the spacecraft could transfer to the valid range of the target position with the consideration of the earth main perturbations.Numerical simulation results showed that the double-ACA method would availably revise the error of the two-body based Lambert transfer in the consideration of perturbations,and the optimal fuel for the transfer would be found due to the strong search capability of ACA.