摘要
目前传感器非线性误差标定过程中存在标定准确度低、稳定性差、能耗高的问题,提出基于激光干涉的传感器非线性误差标定方法。通过分解、预测及更新获取提升小波阈值,将传感器原始信号划分成互不相交的偶序列和奇序列,根据相邻偶序列对奇序列进行预测,利用更新算子对预测结果进行更新;引入小波逆变换,调整小波阈值对传感器中的高频系数与低频系数进行去噪处理,获取去噪后的传感器信号,并通过激光干涉仪进行接收,计算信号中的脉冲数量,同时驱动电机旋转95%位移,使传感器运行延迟3s,通过激光干涉仪继续接收来自传感器的信号,并对误差位置进行判断,直到将传感器非线性误差标定完毕。实验表明,该方法标定稳定性系数可保持在0.9以上,标定准确性高且能耗低。
At present,there is a problem of low calibration accuracy,poor stability and high energy consumption in the calibration process of sensor nonlinear error,and the calibration method of nonlinear error of sensor based on laser interference is proposed. By decomposing,predicting and updating the lifting wavelet threshold,the original signal of the sensor is divided into non intersected couple sequence and odd sequence,the odd sequence is predicted according to the adjacent pair sequence,the prediction result is updated by the update operator,and the wavelet inverse transformation is introduced to adjust the high frequency coefficient of the wavelet threshold to the sensor. To de-noising with the low frequency coefficient,obtain the signal of the sensor after de-noising,and receive the signal through the laser interferometer,calculate the number of the pulses in the signal,and drive the 95% displacement of the motor to make the sensor run delayed 3 s,and continue to receive the signal from the sensor through the laser interferometer and judge the error position. Until the nonlinear error of sensor is calibrated. The experimental results show that the calibration stability coefficient of this method can be maintained at over 0. 9,and the calibration accuracy is high and the energy consumption is low.
作者
王向玲
李燕
WANG Xiangling(LvLiang University,Lvliang Shanxi 033000,China;Key Laboratory for Electronic Measurement Technology & Key Laboratory of Instrumentation Scienceand Dynamic Measurement,North University of China,Taiyuan 030051,China)
出处
《激光杂志》
北大核心
2018年第12期130-133,共4页
Laser Journal
基金
国家自然科学基金(No.61335008)
吕梁学院校内青年基金(No.ZRQN201603)
关键词
激光干涉
传感器
非线性误差
标定
去噪
Laser interference
sensor
Nonlinear error
Calibration
De-noising
