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Mission planning for on-orbit servicing through multiple servicing satellites: A new approach

机译：通过多颗服务卫星进行在轨服务的任务计划：一种新方法

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摘要

In this paper, a novel approach is proposed for the mission planning of on-orbit servicing such as visual inspection, active debris removal and refueling through multiple servicing satellites (SSs). The scheduling has been done with the aim of minimization of fuel consumption and mission duration. So a multi-objective optimization problem is dealt with here which is solved by employing particle swarm optimization algorithm. Also, Taguchi technique is employed for robust design of effective parameters of optimization problem. The day that the SSs have to leave parking orbit, transfer duration from parking orbit to final orbit, transfer duration between one target to another, and time spent for the SS on each target are the decision parameters which are obtained from the optimization problem. The raised idea is that in addition to the aforementioned decision parameters, eccentricity and inclination related to the initial orbit and also phase difference between the SSs on the initial orbit are identified by means of optimization problem, so that the designer has not much role on determining them. Furthermore, it is considered that the SS and the target rendezvous at the servicing point and the SS does not perform any phasing maneuver to reach the target. It should be noted that Lambert theorem is used for determination of the transfer orbit. The results show that the proposed approach reduces the fuel consumption and the mission duration significantly in comparison with the conventional approaches.
机译：在本文中，提出了一种新颖的方法来进行在轨服务的任务计划，例如目视检查，主动碎片清除和通过多颗服务卫星（SS）进行加油。为了使燃料消耗和任务持续时间最小化，已经进行了调度。因此，这里要解决的是多目标优化问题，可以采用粒子群算法进行求解。另外，田口技术被用于对优化问题的有效参数进行鲁棒设计。 SS必须离开停车轨道的日期，从停车轨道到最终轨道的转移持续时间，一个目标到另一个目标之间的转移持续时间以及每个目标在SS上花费的时间都是从优化问题中获得的决策参数。提出的想法是，除了上述决策参数之外，还通过优化问题来识别与初始轨道有关的偏心率和倾斜度，以及初始轨道上的SS之间的相位差，因此设计者在确定问题上没有太大作用。他们。此外，认为SS和目标在服务点会合，并且SS不执行任何调相操纵来达到目标​​。应当注意，兰伯特定理用于确定转移轨道。结果表明，与传统方法相比，该方法显着降低了油耗和任务持续时间。

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