Frontiers of Optoelectronics, Volume. 1, Issue 3, 263(2008)

A genetic algorithm used in a 61-element adaptive optical system

Ping YANG1,2、*, Bing XU1, Wenhan JIANG1, and Shanqiu CHEN1
Author Affiliations
  • 1Institute of Optics and Electronics, Chinese Academy of Sciences, Chendu 610209, China
  • 2Graduate School of Chinese Academy of Sciences, Beijing 100039, China
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    To correct the phase aberrations in a wavefront, a wavefront sensorless adaptive optical (AO) system is set up. A real-number encoding Gaussian mutation genetic algorithm (GA) that is adopted to control a 61-element deformable mirror (DM) is presented. This GA uses the light intensity behind a pinhole on the focal plane as the objective function to optimize, and therefore to omit the procedure of measuring the phase aberrations in the laser wavefront by a wavefront sensor. Phase aberrations generated by the DM are brought to an ideal incident wavefront. Several correction simulations have been accomplished. The simulation results show that the genetic algorithm is capable of finding the optimum DM shape to correct the phase aberrations. After the phase aberrations of the wavefront have been corrected by GA, the peak light intensity on the focal plane can be improved at most by a factor of 30, and the encircled energy Strehl ratio can be increased ultimately to 0.96 from 0.032. It is also found that the convergence and stability of the 61 voltages on the DM is quite well. The simulation results prove that the genetic algorithm can be used in AO systems effectively.

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    Ping YANG, Bing XU, Wenhan JIANG, Shanqiu CHEN. A genetic algorithm used in a 61-element adaptive optical system[J]. Frontiers of Optoelectronics, 2008, 1(3): 263

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    Paper Information

    Received: --

    Accepted: --

    Published Online: Nov. 6, 2012

    The Author Email: YANG Ping (pingyang2516@163.com)

    DOI:10.1007/s12200-008-0068-3

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