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Proceedings Paper

Adaptive optics correction experiment based on stochastic parallel gradient descent algorithm
Author(s): Bo Chen; Huizhen Yang; Xinyang Li; Wenhan Jiang
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Paper Abstract

The stochastic parallel gradient descent (SPGD) algorithm is a promising control algorithm for adaptive optics (AO), which is independent of wave-front sensor and is used to correct the wavefront distortion by optimizing the system performance metric directly. In this paper an adaptive optics experiment system with 32 control channels is set up and the static phase-distortion correction experiment is carried out to research the efficiency and performance of SPGD algorithm. The quadratic sum of intensity and the mean radius are used as the system performance metric respectively in the experiment. The experiments results demonstrate that the adaptive optics using SPGD algorithm can correct the static phase-distortion successfully. The mean radius is more sensitive to the small perturbation voltage than quadratic sum of intensity. When the mean radius is used as the system performance metric at the beginning of the correction process, and then the encircled energy is used in succession, both the convergence rate and the stability are improved.

Paper Details

Date Published: 31 December 2008
PDF: 6 pages
Proc. SPIE 7130, Fourth International Symposium on Precision Mechanical Measurements, 71303Y (31 December 2008); doi: 10.1117/12.819701
Show Author Affiliations
Bo Chen, Institute of Optics and Electronics (China)
Graduate School of the Chinese Academy of Sciences (China)
Huizhen Yang, Institute of Optics and Electronics (China)
Graduate School of the Chinese Academy of Sciences (China)
Xinyang Li, Institute of Optics and Electronics (China)
Wenhan Jiang, Institute of Optics and Electronics (China)


Published in SPIE Proceedings Vol. 7130:
Fourth International Symposium on Precision Mechanical Measurements
Yetai Fei; Kuang-Chao Fan; Rongsheng Lu, Editor(s)

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