光学学报, 2020, 40 (2): 0212004, 网络出版: 2020-01-02
基于径向基函数网络的光学测量系统误差修正算法 下载: 958次
Error Correction Algorithm for Optical Measurement System Based on Radial Basis Function Network
测量 光度测量系统 杂散光 点源透射率 径向基函数网络 误差修正 measurement photometric measurement system stray light point source transmittivity radial basis function network error correction
摘要
针对光学测量系统杂散光限制后,残留杂散光的固有误差以及系统老化所带来的时变误差的问题,提出一种基于径向基函数(RBF)网络的光度测量系统误差修正算法,以进一步提高光学测量系统的测量精度。利用点源透射率(PST)的方法对光度测量系统的测量误差分布情况进行分析;在杂散光分布影响近似估计的基础上,设计并改进一种基于RBF网络的光度测量系统误差修正算法。采用TracePro进行仿真对比试验,结果表明,通过误差补偿网络的修正,可将发光强度的测量误差降低至0.24%以下;而且此算法与一般RBF算法相比,其收敛速度和逼近能力有了明显的提高,为系统杂散光限制后衍生问题的解决提供了更为快速有效的修正工具。
Abstract
To solve the problems of inherent errors caused by the residual stray light after the stray light limitation of the optical systems as well as time-varying errors caused by system aging and improve the accuracy of the optical measurement system, an error correction algorithm is proposed for a photometric measurement system based on the radial basis function (RBF) network. In this study, the point source transmittivity is used to analyze the measurement error distribution of the photometric measurement system. Further, the error correction algorithm is designed and improved based on the RBF network in accordance with the approximate estimation of stray light distribution. TracePro software is employed for comparative simulations. The results demonstrate that the photometric measurement error can be reduced to less than 0.24% by correcting the error compensation network. Compared with the general RBF network, the convergence speed and approximation ability of the proposed algorithm are obviously improved, providing a more rapid and effective tool for solving the problems entailed by the stray light limitation.
薛萍, 何海, 王宏民. 基于径向基函数网络的光学测量系统误差修正算法[J]. 光学学报, 2020, 40(2): 0212004. Ping Xue, Hai He, Hongmin Wang. Error Correction Algorithm for Optical Measurement System Based on Radial Basis Function Network[J]. Acta Optica Sinica, 2020, 40(2): 0212004.