By Topic

Application analysis of several stochastic optimal algorithms in adaptive optics system control

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Huizhen Yang ; Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China ; Dongmei Cai ; Xinyang Li ; Wenhan Jiang

Optimizing the system performance metric directly is an important method for correcting wave-front distortions in adaptive optics(AO) systems. Appropriate stochastic parallel optimization control algorithm is the key to correcting distorted wave front successfully. Based on several stochastic parallel optimization control algorithms, an adaptive optics system with a 32-element deformable mirror was simulated Genetic algorithm (GA), ALogrithm Of Pattern Extraction (Alopex), the single perturbation stochastic parallel gradient descent (SPGD), the double perturbation SPGD and simulated annealing (SA) were compared in convergence speed, correction capability and local maximum. The results are: because of low convergence speed, GA and Alopex are not suitable for the control of real-time AO system; and the double perturbation SPGD and SA hold significant promise for the control of AO system.

Published in:

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Date of Conference:

25-27 June 2008