MEMS惯性传感器频率特性测试方法
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- 英文论文题名：Frequency Characteristic Test Method of MEMS Inertial Sensors
- 论文作者：汪守利 ; 白浪 ; 冯帅
- 英文论文作者：WANG Shou-li ; BAI Lang ; FENG Shuai ; Beijing Research Institute of Telemetry
- 年：2016
- 作者机构：北京遥测技术研究所;
- 论文关键词：角振动 ; 惯性传感器 ; 频率特性 ; 时间对齐
- 英文论文关键词：angular vibration ; inertial sensors ; frequency characteristic ; time alignment
- 会议召开时间：2016-07-15
- 会议录名称：2016航空试验测试技术学术交流会论文集
- 语种：中文
- 分类号：TP212
- 学会代码：ZGHU
- 学会名称：中国航空学会
- 页数：4
- 文件大小：354k
- 原文格式：O
摘要
MEMS惯性传感器越来越多地应用于惯性测量系统及战术武器导航系统。传统的惯性传感器频率特性测试方法中,陀螺仪主要基于角振动原理进行测试,加速度计主要基于线振动原理进行测试,通过与振动台基准信号进行比较而得到频率特性。介绍了一种基于角振动的惯性传感器频率特性测试方法,可以完成模拟、数字信号输出陀螺仪及加速度计的幅频、相频特性分析。其中加速度计频率特性测试,是通过敏感的按正弦规律变化角振动台切向加速度与角振动台基准信号进行拟合计算的。对于以数字信号输出的惯性系统,解决了输出数字量与角振动台输出基准模拟信号的时间对齐问题。试验结果显示拟合频率误差率小于40 ppm,并证明了该方法的有效性及可行性。
MEMS inertial sensors are used more and more in inertial measuring system and tactical navigation domain.In the traditional test method,frequency characteristic of gyroscope and accelerometer is measured based on angular vibration and linear vibration respectively.The characteristic is acquired by fitting the base output of the vibration table and the sensor' s output.A frequency characteristic test method of inertial sensors based on angular vibration is presented.By using this method,the characteristics of amplitude-frequency and phase-frequency can be analyzed,the output of inertial sensors can be analog or digital.In the presented method,frequency characteristic of the accelerometer is acquired by fitting the base output and the sinusoidal tangential acceleration of the vibration table.For the digital output inertial system,time alignment of the digital signal and base analog signal is resolved in the method.The result of experiment shows that the frequency error ratio is less than 40 ppm and the method is validated.
MEMS inertial sensors are used more and more in inertial measuring system and tactical navigation domain.In the traditional test method,frequency characteristic of gyroscope and accelerometer is measured based on angular vibration and linear vibration respectively.The characteristic is acquired by fitting the base output of the vibration table and the sensor' s output.A frequency characteristic test method of inertial sensors based on angular vibration is presented.By using this method,the characteristics of amplitude-frequency and phase-frequency can be analyzed,the output of inertial sensors can be analog or digital.In the presented method,frequency characteristic of the accelerometer is acquired by fitting the base output and the sinusoidal tangential acceleration of the vibration table.For the digital output inertial system,time alignment of the digital signal and base analog signal is resolved in the method.The result of experiment shows that the frequency error ratio is less than 40 ppm and the method is validated.
引文
[1]Tanenhaus M,Carhoun D,Geis T,et al.Miniature IMU/INS with optimally fused low drift MEMS gyro and accelerometers for applications in GPS-denied environments[C]//2012IEEE/ION Position Location and Navigation Symposium(PLANS).2012:259-264.
[2]Aydemir G A,Saranh A.Characterization and calibration of MEMS inertial sensors for state and parameter estimation application[J].Measurement,2012(5).-1210-1225.
[3]Ren W,Zhang T,Zhang H Y,et al.A research on calibration of low-precision MEMS inertial sensors[C]//2013 25th Chinese Control and Decision Conference(CCDC).IEEE,2013:3243-3247.
[4]程耀强,徐德民,万彦辉,等.激光陀螺动态特性研究(二)[J].上海交通大学学报(自然版),2012,46(8):1274-1279.
[5]王嫘,董景新,赵长德,等.基于虚拟仪器的微机电系统动态特性测试仪设计[J].中国惯性技术学报,2009,17(1):81-84.
[6]IEEE Std 1554-2005,IEEE Recommended Practice for Inertial Sensor Test Equipment,Instrumentation,Data Acquisition,and Analysis[S].
[7]李敏,宋凝芳,张春熹,等.采用相关辨识的光纤陀螺动态特性测试方法[J].红外与激光工程,2011,40(4):23-727.
[2]Aydemir G A,Saranh A.Characterization and calibration of MEMS inertial sensors for state and parameter estimation application[J].Measurement,2012(5).-1210-1225.
[3]Ren W,Zhang T,Zhang H Y,et al.A research on calibration of low-precision MEMS inertial sensors[C]//2013 25th Chinese Control and Decision Conference(CCDC).IEEE,2013:3243-3247.
[4]程耀强,徐德民,万彦辉,等.激光陀螺动态特性研究(二)[J].上海交通大学学报(自然版),2012,46(8):1274-1279.
[5]王嫘,董景新,赵长德,等.基于虚拟仪器的微机电系统动态特性测试仪设计[J].中国惯性技术学报,2009,17(1):81-84.
[6]IEEE Std 1554-2005,IEEE Recommended Practice for Inertial Sensor Test Equipment,Instrumentation,Data Acquisition,and Analysis[S].
[7]李敏,宋凝芳,张春熹,等.采用相关辨识的光纤陀螺动态特性测试方法[J].红外与激光工程,2011,40(4):23-727.