摘要
为实现液晶可变延迟器(LCVR)对入射光相位精确调制,分析了LCVR的双折射率色散特性,得到相位延迟量由驱动电压项和色散项组成的关系式;采用支持向量机SVM(support vector machines)算法,并用粒子群算法PSO(particle swarm optimization)对支持向量机的参数(c和g)进行优化,构建粒子群-支持向量机的LCVR相位延迟特性中驱动电压项的预测模型,并将其预测模型用于以568 nm激光作为光源的验证实验中;结果表明,在568 nm激光照射下,LCVR延迟量的实验值与标定理论值偏差不大于0.005 4λ,因此,说明PSO-SVM方法可作为LCVR相位延迟特性标定的有效手段。
In order to realize accurate phase modulation of the incident light for LCVR,the birefringence dispersion features of LCVR are analyzed,the phase delay retardation equation is obtained,which consists of the driving voltage term and dispersion term. The support vector machine（ SVM） algorithm is adopted,the particle swarm optimization（ PSO） is used to optimize the parameters（ c and g） of the SVM; the prediction model of the driving voltage term in LCVR phase retardation features is established with PSO and SVM. The obtained prediction model was used in the verification experiment,in which 568 nm laser is used as the light source. The results show that under the illustration of 568 nm laser,the deviation of the experimental value and the calibration theoretical value of the LCVR retardation is not larger than 0. 005 4λ. So,the PSO-SVM method can be used as an effective method for LCVR phase retardation characteristic calibration.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2016年第7期1517-1523,共7页
Chinese Journal of Scientific Instrument
基金
国家973项目(613225)
国家自然科学基金(91338116)项目资助
关键词
液晶可变相位延迟器
双折射色散
支持向量机
粒子群优化
延迟量
标定
liquid crystal variable retarder（LCVR）
birefringence dispersion
support vector machine（SVM）
particle swarm optimization（PSO）
retardation
calibration
