用遗传模糊系统控制航天器逼近，节能且抗干扰。
Genetic Fuzzy System-based Control for Final Approach of Spacecraft Rendezvous and Proximity Operations
- 用遗传算法训练模糊控制器，适应多种初始位置。
- 在带扰动的测试环境中实现低能耗精准逼近。
- 适合需要高可靠性与节能的航天器对接任务。
在轨服务受到广泛关注，用于延长有故障部件的航天器寿命。这需要追踪器与目标在近距离操作中完成交会。本文构建了一个基于模糊推理系统的控制器，使追踪器在最终逼近阶段到达圆形轨道上的协作目标，同时最小化追踪器的能量消耗。训练过程通过遗传算法离线完成，覆盖多种初始相对位置；训练后的控制器在包含扰动的测试环境中进行验证，该环境与训练场景不同，证明了其鲁棒性。
原文摘要 · Abstract (English)
In-space servicing has been receiving great attention to extend the operation of spacecraft with defective components. This requires rendezvous and proximity operations for a chaser to provide service to a target. This work constructs a fuzzy inference system-based controller for the chaser to reach the cooperative target on a circular orbit in the final approach phase while minimizing the energy consumption of the chaser. The offline training process performed by a genetic algorithm deals with multiple initial relative positions of the chaser, and the trained controller is validated using a testing environment with disturbances, which differs from the training scenarios.
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