激光3D投影系统精度标定与补偿技术研究  

Research on Precision Calibration and Compensation Technology of Laser 3D Projection System

作　　者：刘馥宁 李丽娟[1] 林雪竹[1] 郭丽丽 程晓波 LIU Funing;LI Lijuan;LIN Xuezhu;GUO Lili;CHENG Xiaobo(School of Opto-Electronic Engineering,Changchun University of Science and Technology,Changchun 130022)

机构地区：[1]长春理工大学光电工程学院,长春130022

出　　处：《长春理工大学学报（自然科学版）》2022年第4期55-64,共10页Journal of Changchun University of Science and Technology(Natural Science Edition)

基　　金：吉林省科技发展计划重点研发项目(20200401019GX)。

摘　　要：为获得更加精确的校准参数提高激光3D投影系统的精度,提出了一种基于Newton迭代与PSO算法相结合的优化算法,优化求解激光3D投影系统的标定参数。同时,提出了基于BP神经网络的振镜转动角度偏差的补偿方法。仿真结果显示,在投影点上施加均值为0,方差分别为0.01、0.02、0.03的噪声后,激光3D投影系统的振镜转动角度解算误差小于6″,基于该优化算法的标定参数求解误差的RMS小于0.1 mm;基于BP神经网络的振镜转动角度偏差的补偿方法的均方根误差小于5″。表明该方法具有理论正确性和可行性,为激光3D投影系统的标定与补偿提供了新的研究方法。In order to obtain more accurate calibration parameters to improve the accuracy of Laser 3D projection system.An optimization algorithm based on Newton iteration and PSO algorithm was proposed to solve the calibration parameters of laser 3D projection system.At the same time,a method based on BP neural network was proposed to compensate the rotation Angle deviation of galvanometer.The simulation results show that after the mean value of 0 and variance of 0.01,0.02 and 0.03 are applied to the projection points,t he calculation error of galvanometer rotation Angle in laser 3D projec-tion system is less than 6″,t he RMS of the calibration parameters based on the optimization algorithm is less than 0.1 mm;the root mean square error of the compensation method based on BP neural network is less than 5″.It is proved that the method has theoretical correctness and feasibility,and a new research method is provided for calibration and compensation of laser 3D projection system.

关 键 词：激光3D投影系统 精度评价 误差补偿 粒子群算法 牛顿迭代法 

分 类 号：TN249[电子电信—物理电子学]