基于指数平滑法的光栅信号细分误差修正模型建立及分析  

Establishment and Analysis of Grating Signal Segmentation Error Correction Model Based on Exponential Smoothing Method

作　　者：蔡玺 张旭 魏军 CAI Xi;ZHANG Xu;WEI Jun(Gansu Tongxing Intelligent Technology Development Co.,Ltd.,Lanzhou 730050 China;State Grid Gansu Electric Power Company Information Communication Company,Lanzhou 730050 China)

机构地区：[1]甘肃同兴智能科技发展有限责任公司,甘肃兰州730050 [2]国网甘肃省电力公司信息通信公司,甘肃兰州730050

出　　处：《自动化技术与应用》2020年第3期122-125,共4页Techniques of Automation and Applications

摘　　要：结合光栅结构的制造精度,提出了一种光栅信号自适应细分方法,并进一步给出误差修正模型。利用IBV660B细分盒实现400倍细分脉冲,由ARM芯片定时器捕获单元对光栅输出信号进行脉冲宽度测试所得的结果来验证本文方法。指数平滑法可以控制光栅栅距触发采样时间误差为±0.10ms,细分误差是±0.79″。与灰色预测算法相比,遇到"临界"区时,指数平滑法可以更加平稳地预测误差,这就使指数平滑法在"临界"状态下时可以获得更低的预测误差。Combined with the manufacturing precision of grating structure, an adaptive segmentation method of grating signal is proposed, and an error correction model is given. The IBV660 B subdivision box is used to realize 400 times of subdivision pulse. The results obtained from pulse width test of grating output signal by ARM chip timer capture unit are used to verify the method in this paper. The exponential smoothing method can control the sampling time error of grating spacing trigger at plus or minus 0.10 ms and the subdivision error at plus or minus 0.79 ". Compared with the grey prediction algorithm, the exponential smoothing method can predict the error more smoothly when it comes to the "critical" region,which enables the exponential smoothing method to obtain a lower prediction error when it comes to the "critical" state.

关 键 词：光栅信号 细分误差 修正模型 指数平滑法 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]