摘要
针对基于石英挠性加速度计的倾角传感器在外界环境温差较大、温度快速变化时,测量不准确的问题,采用反正弦法计算角度,应用最大似然估计准确获取采样数据,利用最小二乘法进行数据处理,建立了数据处理和温度补偿两种算法模型,并进行了恒温试验、升温实验、降温实验和温度补偿对比实验。实验结果表明,建立的两种算法模型,解决了外界温度迅速变化时测量不准的难题,提高了传感器的温度适应能力和测量精度。
Aiming at inaccurate tilt measurement based on quartz flexible accelerometer under the conditions of large temperature difference and rapid temperature change, two kinds of algorithm models--data processing and temperature compensation are established by using the arcsine method for angle calculation, the maximum likelihood estimation for accurate sample data acquisition, and the least square method for data processing. The constant temperature experiments, raising temperature experiments, reducing temperature experiments and temperature compensation contrast experiments are carried out successfully. The experiment results show that two kinds of algorithm models solve the problem of inaccurate measurement of the tilt sensor when the environment temperature changes rapidly, improve the ability of the sensor to adapt to the temperature environment and raise the measurement accuracy.
出处
《传感器世界》
2016年第5期7-12,共6页
Sensor World
基金
国家自然科学基金资助项目(NO.61271047)
北京市属高校创新能力提升计划项目(NO.TJSHG201310772026)
关键词
加速度计
倾角传感器
反正弦法
最小二乘法
温度补偿
accelerometer
angle sensor
arcsine method
least square method
temperature compensation