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Proceedings Paper

Parameters optimization of the beam clean-up system based on stochastic parallel gradient descent method
Author(s): Sanhong Wang; Junfeng Cui; Haotong Ma; Yonghui Liang; Qifeng Yu
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Paper Abstract

In a high-energy laser, the thermal aberrations degrade the beam quality and reduce the laser’s output power. Adaptive optics (AO) technique based on a stochastic parallel gradient (SPGD) algorithm can be used to compensate for the distortions in real time to clean up the laser beam. Such a beam clean-up system was simulated and experiments were conducted to study the optimization of the parameters of the gain coefficient and the amplitude of the perturbation. The results show that the convergence property of the SPGD algorithm is improved after the parameters being optimized.

Paper Details

Date Published: 29 November 2012
PDF: 7 pages
Proc. SPIE 8551, High-Power Lasers and Applications VI, 855113 (29 November 2012); doi: 10.1117/12.982001
Show Author Affiliations
Sanhong Wang, National Univ. of Defense Technology (China)
Taiyuan Satellite Launch Ctr. (China)
Junfeng Cui, Taiyuan Satellite Launch Ctr. (China)
Haotong Ma, National Univ. of Defense Technology (China)
Yonghui Liang, National Univ. of Defense Technology (China)
Qifeng Yu, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 8551:
High-Power Lasers and Applications VI
Upendra N. Singh; Dianyuan Fan; Jianquan Yao; Robert F. Walter, Editor(s)

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