基于域变换和灰色预测的光栅信号软细分方法

发布时间：2019-05-24 23:35

【摘要】：针对在现有的光栅细分方法中,细分精度和细分倍数受光栅输出信号质量制约的问题,提出了一种基于域变换和灰色预测的光栅信号软细分方法。基于时空域变换原理将空间域的信息变换到时间域,将传统的等时间采样转换为等空间采样得到空间序列,然后根据灰色预测理论模型预测代表光栅空间位移信息的时间量,通过模型残差检验和修正算法不断提高预测的准确度,最后以时间脉冲方式输出光栅细分信号。实验研究表明,采用灰度预测模型对光栅信号实现预测的软细分方法,不受信号的正弦性、正交性和等幅性影响,细分误差精度可以达到±1.8″,细分精度优于信号周期的±5%。
[Abstract]:In order to solve the problem that the subdivision accuracy and subdivision multiple are restricted by the quality of grating output signal in the existing grating subdivision methods, a soft subdivision method of grating signal based on domain transformation and grey prediction is proposed. Based on the principle of spatial-temporal transformation, the information in spatial domain is transformed into time domain, and the traditional equal-time sampling is transformed into equal-space sampling to obtain spatial sequence, and then the amount of time representing the spatial displacement information of grating is predicted according to the grey prediction theory model. The prediction accuracy is continuously improved by the model residual test and correction algorithm. Finally, the grating subdivision signal is output in the mode of time pulse. The experimental results show that the soft subdivision method of grating signal prediction based on gray prediction model is not affected by the sine, orthogonality and equal amplitude of the signal, and the accuracy of subdivision error can reach 卤1.8 ". The subdivision accuracy is better than 卤5% of the signal period.
【作者单位】：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;
【基金】：国家自然基金(51175534,51305478,51435002) 重庆市基础与前沿研究计划项目(cstc2013jcyja70007) 重庆市教委科学技术研究项目(KJ1500905)资助
【分类号】：TH74

【相似文献】