Experimental research for real-time beam cleanup in turbulence based on stochastic parallel-gradient-descent method

被引:0
|
作者
Wang, Sanhong [1 ]
Liang, Yonghui [1 ]
Long, Xuejun [1 ]
Xie, Wenke [1 ]
Mao, Hongjun [1 ]
Yu, Qifeng [1 ]
机构
[1] College of Opto-Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China
来源
Guangxue Xuebao/Acta Optica Sinica | 2009年 / 29卷 / 03期
关键词
Aberrations - Wavefronts - Turbulence - Gradient methods - Stochastic systems;
D O I
10.3788/AOS20092903.0582
中图分类号
学科分类号
摘要
Adaptive optics can be used to compensate wave-front aberrations of output beam from high-power laser system for improving beam quality. To investigate the feasibility of adaptive optics method based on the stochastic parallel gradient descent (SPGD) for beam cleanup, a SPGD adaptive optics system with iterative rate of 100 Hz is built up, in which a high-speed photodetector is used as the measurement device of the system's performance evaluation function, and a high-speed deformable mirror is served as the wave-front corrector. Dynamic wave-front aberrations caused by the heat flow turbulence of a resistance coil, are corrected in-real-time by the SPGD adaptive optics system. The experimental results show that the above-mentioned system can correct dynamic wave-front aberrations changing in the frequency range of 4 Hz below, resulting in both a 2.2-fold increase of the energy and a 1.4-fold increase of the stability of the far-field spot in the pinhole. It is indicated that the SPGD adaptive optics method is feasible for beam cleanup system.
引用
收藏
页码:582 / 586
相关论文
共 50 条
  • [31] A real-time optimal energy-saving walking pattern generator based on gradient descent method and linear quadratic control
    Hsu, Huan-Kun
    Huang, Han-Pang
    Huang, Ming-Bao
    ADVANCED ROBOTICS, 2019, 33 (10) : 487 - 507
  • [32] The Research on Real-time Simulation of Wavers Based Parallel DSP System
    Li Ying
    Qiu Jing
    MECHATRONICS, ROBOTICS AND AUTOMATION, PTS 1-3, 2013, 373-375 : 2175 - 2179
  • [33] Adaptive conversion of a wavefront-distortion beam to near-diffraction-limited flattop beam based on stochastic parallel gradient descent algorithm
    Ma Haotong
    Yu Zhan
    Wang Xiaolin
    Ma Yanxing
    Zhou Pu
    Xu Xiaojun
    Liu Zejin
    HIGH-POWER LASERS AND APPLICATIONS V, 2010, 7843
  • [34] Theoretical and experimental investigation of the sources of error in stochastic parallel gradient descent-based digital modal decomposition technique
    Singh, Karamdeep
    Sharma, Priyanka
    Suchita
    Dixit, Awakash
    Srinivasan, Balaji
    Koilpillai, R. David
    Venkitesh, Deepa
    OSA CONTINUUM, 2021, 4 (07): : 1916 - 1932
  • [35] Real-Time Forensic Marking Method based on Tiles Parallel Processing
    Yun, Chang Seob
    Jun, Jae Hyun
    Kim, Sung Ho
    Kim, Dae Soo
    11TH INTERNATIONAL CONFERENCE ON ICT CONVERGENCE: DATA, NETWORK, AND AI IN THE AGE OF UNTACT (ICTC 2020), 2020, : 1475 - 1477
  • [36] Load Leveling Control by Real-Time Dynamical Pricing Based on Steepest Descent Method
    Miyano, Yuki
    Namerikawa, Toru
    2012 PROCEEDINGS OF SICE ANNUAL CONFERENCE (SICE), 2012, : 131 - 136
  • [37] Experimental research on real-time prediction method for road slope based on support vector machine
    Zhang, Xiaolong
    Chen, Bin
    Song, Jian
    Pan, Deng
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2014, 45 (11): : 14 - 19
  • [38] Research on Real-time Learning Prediction Method Based on Spark
    Gong, Shaolin
    Qin, Xuan
    PROCEEDINGS OF 2019 IEEE 10TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS 2019), 2019, : 358 - 361
  • [39] Real-time experimental control using network-based parallel processing
    Kim, Byounghoon
    Kenchappa, Shobha Channabasappa
    Sunkara, Adhira
    Chang, Ting-Yu
    Thompson, Lowell
    Doudlah, Raymond
    Rosenberg, Ari
    ELIFE, 2019, 8
  • [40] Adaptive compensation of the effects of non-stationary thermal blooming based on the stochastic parallel gradient descent optimization method
    Carhart, GW
    Simer, GJ
    Vorontsov, MA
    ADVANCED WAVEFRONT CONTROL: METHODS, DEVICES, AND APPLICATIONS, 2003, 5162 : 28 - 36