QMEMS陀螺标度因数温度补偿方法研究  

Temperature Compensation Method of Scale Factor of QMEMS Gyroscope

作　　者：张琬琳 ZHANG Wan-lin(School of the Internet of Things Technology,Wuxi Vocational Institute of Commerce,Wuxi 214153,China)

机构地区：[1]无锡商业职业技术学院物联网技术学院,江苏无锡214153

出　　处：《南通职业大学学报》2021年第3期80-84,共5页Journal of Nantong Vocational University

基　　金：无锡商业职业技术学院省培育课题(KJXJ21606)。

摘　　要：为降低由陀螺标度因数引起的惯性导航系统误差,通过温度实验采集数据,采用几种不同的方法,针对石英音叉微机械陀螺仪(QMEMS)建立温度变化引起的标度因数误差漂移模型,对标度因数温度补偿进行研究。实验结果表明,人工神经网络对QMEMS标度因数的补偿效果优于最小二乘法。In order to reduce the system error of inertial navigation caused by gyro scale factor,data are collected from the temperature experiments and various methods are used to establish on QMEMS an error drift model of scale factor caused by the change of temperature to examine the scale factor temperature compensation.The experimental results show that the method of artificial neural network is better than the least square method in achieving the compensation result of QMEMS scale factor.

关 键 词：石英音叉微机械陀螺仪 标度因数 神经网络 最小二乘法 温度补偿 

分 类 号：V241.5[航空宇航科学与技术—飞行器设计]