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进行空间对接、空间光通信以及空间对抗等,需要在卫星间实现精确的捕获跟踪瞄准(Acquisition,Tracking,Pointing,ATP)。提出了用自适应RBF变结构控制方法实现捕获跟踪瞄准系统中跟踪子系统的精密实时跟踪控制,以提高系统的性能。首先由Terminal滑模变结构控制器实现快速稳定的跟踪,然后,通过自适应RBF神经网络对系统中不确定干扰的上界进行估计。并且用李亚普诺夫方法证明了系统的稳定性和对参数变化的鲁棒性。最后,仿真结果证明了方法的有效性。
For space docking, space optical communication and space confrontation, it is necessary to achieve accurate acquisition and tracking (ATP) acquisition and tracking between satellites. In order to improve the performance of the system, an adaptive RBF variable structure control method is proposed to realize the tracking control of the tracking subsystem in the acquisition and tracking aiming system. Firstly, the sliding mode variable structure controller of Terminal is used to realize fast and stable tracking. Then, the upper bound of uncertain disturbance in the system is estimated by using adaptive RBF neural network. The system stability and the robustness against the parameter changes are proved by Lyapunov method. Finally, the simulation results show the effectiveness of the method.