首页|激光相干合成系统中基于自适应随机扰动电压的SPGD优化算法

激光相干合成系统中基于自适应随机扰动电压的SPGD优化算法

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
随机并行梯度下降(SPGD)算法是目前对激光相干合成系统进行精准相位控制的高效方法之一,然而,SPGD算法的控制带宽随着参与合成的激光路数的增加而迅速降低.为满足大规模激光相干合成系统相控的高带宽需求,提出一种基于自适应随机扰动电压的SPGD优化算法——Piecewise SPGD算法,采用变化的随机扰动电压并对增益系数进行分段取值.使用该算法对含有不同激光路数的相干合成系统进行实验仿真,结果表明,针对7路激光相干合成实验,优化后算法的收敛速度和稳定性相比传统SPGD算法分别提高了36.4%和70.6%,性能获得显著提升.此外,Piecewise SPGD算法无须进行参数调整即可扩展到其余路数的激光相干合成系统中,通用性强且性能良好.
Optimization of SPGD Algorithm Based on Adaptive Random Perturbation Voltages in Coherent Beam Combining
The stochastic parallel gradient descent(SPGD)algorithm is one of the most efficient methods for enabling the precise phase control of laser coherent synthesis systems.However,the control bandwidth of the SPGD algorithm rapidly decreases with an increase in the number of laser paths involved in the synthesis.To meet the high bandwidth requirements of the phase control in large-scale laser coherent synthesis systems,this study proposes an SPGD optimization algorithm based on the adaptive random disturbance voltage,that is,Piecewise SPGD algorithm.The proposed algorithm uses a variable random disturbance voltage to segment the gain coefficient.The experimental simulations of coherent synthesis systems with different laser paths are conducted using the proposed algorithm.The results show that in experiments with seven laser paths,the convergence speed and stability of the optimized algorithm are improved by 36.4%and 70.6%compared with those of the traditional SPGD algorithm,respectively,and the performance is significantly improved.The proposed Piecewise SPGD algorithm can be extended to other laser coherent synthesis systems without parameter adjustment for strong universality and good performance of the phase control.

coherent beam combiningphase controlhigh-energy laserstochastic parallel gradient descent algorithm

祁家琴、郑文慧、江文隽、谭贵元、钟丽云、邸江磊、吴小龑、刘国栋、秦玉文

展开 >

广东工业大学信息工程学院先进光子技术研究院,广东 广州 510006

通感融合光子技术教育部重点实验室,广东 广州 510006

广东省信息光子技术重点实验室,广东 广州 510006

中国工程物理研究院流体物理研究所,四川 绵阳 621900

展开 >

相干合成 相位控制 高能激光 随机并行梯度下降算法

国家重点研发计划国家自然科学基金国家自然科学基金广东省珠江人才计划引进创新创业团队广东省珠江人才计划引进创新创业团队

2021YFB290090362075183621750412021ZT09X0442019ZT08X340

2024

10.3788/LOP231638

激光与光电子学进展
中国科学院上海光学精密机械研究所

激光与光电子学进展

CSTPCD北大核心
影响因子：1.153
ISSN：1006-4125
年,卷(期)：2024.61(15)
  • 11