Laser & Optoelectronics Progress, Volume. 58, Issue 9, 0906007(2021)
Tracking Performance of Mirrors in Space Laser Communication Networking
Aiming at the problems of high dynamic topology nodes and difficult communication link construction in space laser communication networking, based on the existing "one point to many points" networking optical principle, the servo performance of its mirror optical antenna is studied. Two different optical closed-loop control strategies based on the position loop and speed loop are compared through experiments. The results show that the optical closed-loop control strategy based on the speed loop will have large instantaneous jitter of tracking and reversing errors, while the optical closed-loop control strategy based on the position loop is more stable and has small error when reversing. The optical closed-loop tracking simulation based on the speed loop is carried out by using the Matlab platform. The tracking error obtained by the simulation is basically consistent with the actual tracking error, but there is no large reversing error. By combining with the low-speed start-up experiment, we concluded that the error comes from the poor low-speed start-up performance of the speed loop, and the scheme of reducing the reversing and tracking errors by adding the position loop is suitable for the optical mechanical system with high resonance frequency of the shafting. The experiment also studied the velocity feedforward of position loop tracking. The results show that when the feedforward gain increases from 0 to 2, the position tracking error first decreases and then increases, and the minimum tracking error appears near the gain value of 0.95?1.05.
Get Citation
Copy Citation Text
Baiqiu Zhao, Xiaonan Yu, Yan Dong, Lizhong Zhang, Shoufeng Tong. Tracking Performance of Mirrors in Space Laser Communication Networking[J]. Laser & Optoelectronics Progress, 2021, 58(9): 0906007
Category: Fiber Optics and Optical Communications
Received: Sep. 24, 2020
Accepted: Oct. 21, 2020
Published Online: May. 12, 2021
The Author Email: Yu Xiaonan (yuxiaonan1989@126.com)