White-box digital-twin-based real-time polarization tracking

Xuguang Zhang; Guoqing Pu; Weisheng Hu; Lilin Yi

doi:10.1117/12.3014337

18 March 2024 White-box digital-twin-based real-time polarization tracking

Xuguang Zhang, Guoqing Pu, Weisheng Hu, Lilin Yi

Proceedings Volume 13104, Advanced Fiber Laser Conference (AFL2023); 1310404 (2024) https://doi.org/10.1117/12.3014337
Event: Advanced Fiber Laser Conference (AFL2023), 2023, Shenzhen, China

Abstract

Tracking and compensating polarization in real-time is a challenging task and the existing algorithms lack determinacy and interpretability. We demonstrate real-time polarization tracking based on a white-box digital twin modeling the entire polarization tracking system. By calculating with the Stokes vectors and Muller matrices, it is derived that the output power can be expressed by 9 terms consisting of retardances of the electrical polarization controller. We conduct experiments to test and compare the performances of the digital-twin- based algorithm with other algorithms. The experiment results show that the digital-twin-based real-time polarization tracking can ensure the recovery time is less than 0.8 ms in any case. In most cases, the necessary sample times to realize the polarization tracking can be cut down to 9. The adoption of digital twin allows the algorithm to skip the loop of perturbation, sampling, and adjusting over the real system, thereby significantly reducing the sample times and recovery time. The proposed method changes the situation in that existing algorithms are full of random factors and require numerous sample times during polarization tracking.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xuguang Zhang, Guoqing Pu, Weisheng Hu, and Lilin Yi "White-box digital-twin-based real-time polarization tracking", Proc. SPIE 13104, Advanced Fiber Laser Conference (AFL2023), 1310404 (18 March 2024); https://doi.org/10.1117/12.3014337

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available