基于改进自适应粒子群退火的子孔径拼接干涉算法  

Sub-aperture splicing interference algorithm based on improved adaptive particle swarm annealing

作　　者：蒋宸哲 张雷洪[2] 徐邦联 周智轩 韩森[2] 张大伟[2] 徐春凤 JIANG Chenzhe;ZHANG Leihong;XU Bangian;ZHOU Zhixuan;HAN Sen;ZHANG Dawei;XU Chunfeng(College of Communication and Art Design,University of Shanghai for Science and Technology,Shanghai 200093,China;School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)

机构地区：[1]上海理工大学出版印刷与艺术设计学院,上海200093 [2]上海理工大学光电信息与计算机工程学院,上海200093

出　　处：《智能计算机与应用》2024年第4期128-135,共8页Intelligent Computer and Applications

基　　金：国家重点研发计划(2022YFF0607701)。

摘　　要：本文提出一种基于改进自适应粒子群退火的子孔径拼接干涉算法,以补偿子孔径拼接时产生的调整及定位误差。通过在粒子群算法中引入自适应权重调整、动态自我认知调整以及退火算法,弥补了传统粒子群算法容易陷入局部最优解的缺点,平衡了全局搜索及局部搜索能力。利用Zernike多项式仿真真实面形,结果表明本算法拼接所得面形能够很好地还原原始面形。采用6英寸口径平面镜进行测试,对比全口径干涉面形的测试结果,两者PV值与RMS值误差仅有1.49%与0.45%,远小于传统PSO算法误差的8.13%与0.96%。仿真结果表明,本文算法可以更好地弥补子孔径调整及定位误差,准确还原原始面形信息。In this paper,a sub-aperture splicing interference algorithm based on improved adaptive particle swarm annealing is proposed to compensate for the adjustment and localization errors generated during sub-aperture splicing.By introducing adaptive weight adjustment,dynamic self-cognitive adjustment and annealing algorithm into the particle swarm algorithm,the shortcomings of traditional particle swarm algorithm that is easy to fall into local optimal solution are compensated,and the global search and local search ability are balanced.The Zernike polynomials are used to simulate the real surface shape,and the results show that the surface shape obtained from the splicing of this algorithm can restore the original surface shape very well.Using a 6-inch aperture plane mirror for testing,compared with the full aperture interferometric surface shape test results,the two PV value and RMS value error is only 1.49%and 0.45%,which is much smaller than the traditional PSO algorithm error of 8.13%and 0.96%.The simulation results show that the algorithm in this paper can better compensate for the sub-aperture adjustment and localization errors,and accurately restore the original surface shape information.

关 键 词：粒子群算法 子孔径拼接 干涉测量法 ZERNIKE多项式 

分 类 号：TH744[机械工程—光学工程]