This paper explores and analyzes the robust proximity control problem for spacecraft in the presence of external disturbance, model uncertainty, and safety concern. To fulfill the safety proximity requirement, a novel two-stage time-depended performance function is constructed to guarantee the transient and steady-state proximity performance. Then, by assimilating the advantages of the prescribed performance control methodology and inverse optimal control approach, a neuroadaptive prescribed performance-based inverse optimal control scheme is proposed, which ensures all system signals comply with the preassigned performance function. The developed controller shows optimality concerning convergence performance and energy consumption, whilst satisfying the well-designed safety corridor. Finally, simulation scenarios are provided to demonstrate the effectiveness of the presented control scheme.

本文探讨并分析了航天器在存在外部干扰、模型不确定性和安全问题的情况下的鲁棒接近控制问题。为了满足安全接近要求，构建了一种新颖的两级时间相关性能函数来保证瞬态和稳态接近性能。然后，通过吸收规定性能控制方法和逆最优控制方法的优点，提出了一种基于神经自适应规定性能的逆最优控制方案，确保所有系统信号符合预先分配的性能函数。开发的控制器在收敛性能和能耗方面表现出最优性，同时满足精心设计的安全走廊。最后，