基于组合预测算法的光栅信号新细分方法研究  

A Novel Grating Signal Subdivision Method Based on a Combined Forecasting Algorithm

作　　者：陈自然[1] 李钢[1] 赵建 田伟 CHEN Ziran;LI Gang;ZHAO Jian;TIAN Wei(Engineering Research Center of Mechanical Testing Technology and Equipment,Ministry of Education,Chongqing Key Laboratory of Time Grating Sensing and Advanced Testing Technology,Chongqing University of Technology,Chongqing 400054,China)

机构地区：[1]重庆理工大学机械检测技术与装备教育部工程研究中心时栅传感及先进检测技术重庆市重点实验室,重庆400054

出　　处：《传感技术学报》2018年第7期1061-1066,共6页Chinese Journal of Sensors and Actuators

基　　金：国家自然科学基金(51775075);重庆市基础与前沿研究计划项目(cstc2016jcyj A0505);重庆高校创新团队建设计划项目(CXTDX201601029)

摘　　要：针对现有光栅信号细分技术对光栅输出原始信号波形质量要求较高的问题,本文利用运动过程中时间与空间的映射关系,建立一种利用时间基准测量空间的新方法。通过光栅栅距触发采样时间建立样本序列,在通过分析不同运动状态特性的基础上,研究采用组合预测算法,提出一种光栅信号自适应细分新方法,实验结果表明此算法能实现圆光栅栅距内100倍细分,细分误差为±0.56″,满足实验所需的实时性和细分精度的要求,实现光栅信号细分。此细分方法充分利用光栅本身的制造精度,与光栅输出信号正弦性无关,在精密测量领域具有重要应用价值。Aiming at high requirements on optical grating signal quality for existing grating signal subdivision technology,A position measurement method using time standard is established by mapping the relationship between time and space in the process of movement. Sampling motion time triggered by the pitch of optical grating sensor are employed as sample sequence. A new adaptive method of gating signal subdivision using a combined forecasting algorithmic is proposed based on analyzing different motion characteristics. Experiment results prove that the maximum subdivision number can reach 100,and the angular subdivision errors are within±0.56″. The proposed method meets the requirements of real-time and subdivision accuracy for practical applications. The high precision signal subdivision of the grating sensor is achieved. The proposed method makes the best of original manufacturing accuracy of grating sensors rather than the sinusoidal waveform quality of the grating signals,which has high application value in the precise measurement field.

关 键 词：光栅 信号细分 误差修正 组合预测算法 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]