Space tethered system has been widely investigated because of its extensive applications in space observation, debris removal, and space solar power station, etc. Yet, due to the system coupling nonlinearities, unknown disturbances, and on-board limited communication constraints, the deployment control of the spacecraft system is still challenging. In this paper, an adaptive integral sliding mode controller is designed by using neural network estimator, barrier function and event-triggered mechanism, which ensures that the system deploys to the specified configuration in finite time. Giving that the lumped disturbances are bounded by an unknown boundary, the gain of the switching term is tuned by the barrier function such that the gain-overestimation problem can be avoided. Then, the dynamic event-triggered mechanism updates the control signal non-periodically between the controller and the actuator, thus communication resources can be saved. Moreover, the stability of the closed system with and without event-triggered mechanism is analyzed. Finally, simulation tests are carried out to exhibit the effectiveness of the proposed control scheme.

空间系留系统因其在空间观测、碎片清除、空间太阳能发电站等方面的广泛应用而受到广泛的研究。然而，由于系统耦合非线性、未知干扰和机载有限通信限制，部署控制航天器系统仍然具有挑战性。本文利用神经网络估计器、障碍函数和事件触发机制设计了一种自适应积分滑模控制器，确保系统在有限时间内部署到指定的配置。假设集总干扰以未知边界为界，切换项的增益由障碍函数调整，从而可以避免增益高估问题。然后，动态事件触发机制在控制器和执行器之间非周期性地更新控制信号，从而可以节省通信资源。此外，分析了有和没有事件触发机制的封闭系统的稳定性。最后通过仿真测试验证了所提出的控制方案的有效性。