基于迭代学习观测器的容错控制,适用于轨道和姿态动态耦合的在轨服务航天器

Shiyi Li, Kerun Liu, Ming Liu
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摘要

本文研究了即将与目标航天器对接的在轨服务航天器的耦合轨道和姿态动力学建模与控制问题。首先,考虑到外部干扰和执行器故障,构建了服务航天器相对于目标航天器的耦合相对轨道和姿态动力学模型。然后,为处理这些影响,分别为轨道动力学和姿态动力学设计了两个迭代学习观测器,它们能够估计干扰和故障。结合估计信息,基于后步法提出了最终控制法则。通过 Lyapunov 方法,分析了闭环控制系统的稳定性。最后,还进行了数值模拟,以证实所提控制方案的有效性。
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Iterative learning observer‐based fault‐tolerant control for on‐orbit serving spacecraft with coupled orbit and attitude dynamics
This article investigates the problems of coupled orbit and attitude dynamics modeling and control for an on‐orbit serving spacecraft that is going to dock with a target spacecraft. First, a coupled relative orbit and attitude dynamics model of the servicing spacecraft with respect to the target spacecraft is constructed, considering external disturbances and actuators faults. To deal with such effects, two iterative learning observers are then designed respectively for orbit dynamics and attitude dynamics, which are capable of estimating interferences and faults. Combining the estimation information, the final control law is proposed based on the back stepping method. Through the Lyapunov approach, the stability of the closed‐loop control system is analyzed. Finally, a numerical simulation is carried out to bear out the effectiveness of the proposed control scheme.
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