摘要
光学元件激光损伤测试系统中的轮盘式衰减器衰减片参数的选取直接影响测试精度。本文采用遗传算法,采用实数编码的参数编码方式,适应度值排序和随机选取结合选择算子,杂交算子中选择随机交叉两个必然产生交叉的个体的部分基因,变异算子根据交叉概率的大小对个体进行位操作,经此改进的算法对激光损伤测试系统中的机械式激光能量衰减器的3组15片衰减片进行了参数优化。优化结果表明:15片衰减片中选取8种不同衰减率,经优化后输出的能量衰减率间隔小于测试激光能量的3%,线性度误差为12.4%。
The selection of attenuation parameters affects the accuracy of measurement directly in the laser damage testing system.In this paper,the genetic algorithm has been improved,the real number encoding using parameter encoding,fitness sorting and randomly selected with random selection operator,cross two is bound to have a cross section of the individual genetic crossover operator,mutation operator according to the size of a crossover operation on the individual Using the improved algorithm,3 sets of 15 pieces of attenuator for mechanical laser energy attenuator are optimized.The optimization results show that:the attenuation rate of 8 different attenuation rates is selected in the 15 pieces of attenuator,and the energy decay rate interval is less than 3%of the maximum laser energy,and the linearity error is about 12.4%.
作者
李建超
苏俊宏
LI Jian-chao;SU Jun-hong(School of Optoelectronics Engineering,Xi′an Technological University,Xi′an 710021,China)
出处
《激光与红外》
CAS
CSCD
北大核心
2020年第9期1109-1113,共5页
Laser & Infrared
基金
国家自然科学基金项目(No.61378050)资助。
关键词
遗传算法
激光损伤
衰减片
参数优化
genetic algorithm
laser damage
attenuator
parameter optimization
作者简介
李建超(1973-),男,博士,主要从事光学仪器设计,E-mail:ljch9999@163.com。
