基于时空域变换和动态预测的光栅信号细分方法

为了提高光栅信号的细分倍数和细分精度,提出一种基于时空域变换和动态预测的光栅信号细分方法。根据光栅栅距与电信号周期的对应关系,利用该电信号过零点触发时间采样,完成空间基准向时间序列的转化。通过时间序列分析建立动态预测模型,预测下一个采样时间,并在预测时间内发送光栅信号细分脉冲。实验表明,细分倍数为400和800时的角位移细分误差均为±1. 2″,且光栅运动加速度及其变化率越小,细分误差越小。

Subdivision Method for Grating Signal Based on Time Series Analysis and Dynamic Prediction

In order to improve the subdivision multiplier and precision of optical grating,a subdivision method of optical grating signal based on time-space transformation and dynamic prediction is proposed.The relationship between the grating pitch and the signal period is utilized to transform the space datum into time series.The time-related sampling is triggered by zero-crossing of sinusoidal signal.A dynamic prediction model is also established based on time series analysis to predict the sampling time.The subdivision pulse is transmitted in predicted time.Experimental results show that the subdivision errors both achieve±1.2″ when the subdivision multipliers are 400 and 800.The subdivision error varies similarly with the acceleration value or its change rate.