论文部分内容阅读
非共面机动问题是航天领域的经典问题,寻找轨道面变换的最优机动策略是研究的重点。对低轨道冲量变轨、高轨道冲量变轨和低轨/高轨冲量变轨的轨道面变换策略进行研究,建立了具体的轨道变换模型,运用遗传算法寻找到了最省燃料的轨道面变换策略。通过仿真,该机动策略相对其他2种能明显降低燃料消耗,实现轨道面的变换。
The problem of non-coplanar maneuver is a classic problem in aerospace field. It is the research focus to find the optimal maneuver strategy of orbital plane transformation. The trajectory transformation strategy of low-orbit-orbit-orbit-orbit-orbit-orbit orbit-orbit-orbit-orbit transformation is studied, and a specific trajectory transformation model is established. The genetic algorithm is used to find the most fuel-efficient orbit surface transformation strategy . Through simulation, compared with the other two kinds of mobile strategies can significantly reduce fuel consumption, to achieve the transformation of the orbital plane.