基于CMAC神经网络的机载空间激光通信终端的自抗扰控制技术

Active disturbance rejection control of airborne laser communication terminal based on CMAC neural network

机载激光通信稳定平台易受到诸多扰动因素影响致使视轴抖动,无法建立稳定的激光通信链路。针对机载激光通信系统受到的扰动问题,设计了一种小脑模型神经网络与自抗扰技术结合的复合控制,并针对控制系统的响应速度和跟踪精度进行仿真研究。仿真结果表明,与传统自抗扰控制技术相比,该复合控制系统具有更快的响应速度、更高的跟踪精度和更好的鲁棒性。

Airborne laser communication stable platform is susceptible to many disturbances leading to the optical axis stabilization jitter,can not establish a stable laser communication link.Aiming at the disturbance problem of the airborne laser communication system,a hybrid control system is designed based on CMAC and ADRC.The response speed and tracking accuracy of the control system are simulated. The simulation results show that compared with traditional ADRC technology,the hybrid control system has faster response speed and higher tracking accuracy.