The utilization of space for human activities has increased steadily over the past several decades. In parallel, space debris has also grown at an alarming rate, posing risks to space missions and establishing debris removal as an aspiration in the current space industry. These objects can orbit at arbitrary rotational speeds in different planes. In this paper, a model predictive control-based algorithm is developed for a target-chaser rendezvous situation to optimize fuel consumption while considering thruster constraints and memory usage. A performance comparison is conducted with several conventional controllers to validate the effectiveness of the algorithm using computer simulations.

在过去的几十年中，人类活动对空间的利用稳步增加。与此同时，空间碎片也以惊人的速度增长，给太空任务带来风险，并将清除碎片作为当前航天工业的一个愿望。这些物体可以在不同平面上以任意旋转速度运行。在本文中，开发了一种基于模型预测控制的算法，用于在考虑推进器约束和内存使用的同时优化目标-追逐者交会情况的燃料消耗。与几个传统控制器进行性能比较，以使用计算机模拟验证算法的有效性。