A direct approach for high-quality MEMS based IMU/INS production

L. Poletti, D. S. Sanchis, R. Siryani
{"title":"A direct approach for high-quality MEMS based IMU/INS production","authors":"L. Poletti, D. S. Sanchis, R. Siryani","doi":"10.1109/ISS50053.2020.9244876","DOIUrl":null,"url":null,"abstract":"This paper describes an industrial process for microelectromechanical systems (MEMS) based inertial measurement unit (IMU) and inertial navigation systems (INS) production. Producing high accuracy sensor in a limited time and with a robust process is a universal problem in IMU and INS production. The challenge we face today is finding a calibration and a performance validation processes which will systematically get the most of each IMU.As MEMS based IMU start competing with other technologies based on high-end gyroscopes, the calibration becomes a critical topic to increase the IMU performance. A common technique used on high-end technologies as Fiber-optic Gyroscopes (FOG) is to combine a set of non-specific multi-position observations and a systematic calibration method as a Kalman filter [1–4]. However, this method requires ultra-low-noise gyroscopes with excellent bias stability and repeatability to correctly measure Earth rotation rate. These attributes are hardly found on MEMS. The method also limits the observability of non-linearities and cross-axis sensitivity errors because of low dynamics.The calibration method proposed here is based on a direct process [5] combined with high dynamics. High dynamics help discarding noise and bias stability from a proper measurement. Also, a direct approach allows to master all the process and gives the possibility to separate and compensate sensors manufacturing and calibration tools imperfections.Finally, the performance assessment and acceptance test presented in this paper are used to check the consistency of the direct approach technique by applying high dynamics after calibration and measuring sensor errors and triads misalignment in a whole temperature range as shown in Figure 1.","PeriodicalId":118518,"journal":{"name":"2020 DGON Inertial Sensors and Systems (ISS)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 DGON Inertial Sensors and Systems (ISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISS50053.2020.9244876","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

This paper describes an industrial process for microelectromechanical systems (MEMS) based inertial measurement unit (IMU) and inertial navigation systems (INS) production. Producing high accuracy sensor in a limited time and with a robust process is a universal problem in IMU and INS production. The challenge we face today is finding a calibration and a performance validation processes which will systematically get the most of each IMU.As MEMS based IMU start competing with other technologies based on high-end gyroscopes, the calibration becomes a critical topic to increase the IMU performance. A common technique used on high-end technologies as Fiber-optic Gyroscopes (FOG) is to combine a set of non-specific multi-position observations and a systematic calibration method as a Kalman filter [1–4]. However, this method requires ultra-low-noise gyroscopes with excellent bias stability and repeatability to correctly measure Earth rotation rate. These attributes are hardly found on MEMS. The method also limits the observability of non-linearities and cross-axis sensitivity errors because of low dynamics.The calibration method proposed here is based on a direct process [5] combined with high dynamics. High dynamics help discarding noise and bias stability from a proper measurement. Also, a direct approach allows to master all the process and gives the possibility to separate and compensate sensors manufacturing and calibration tools imperfections.Finally, the performance assessment and acceptance test presented in this paper are used to check the consistency of the direct approach technique by applying high dynamics after calibration and measuring sensor errors and triads misalignment in a whole temperature range as shown in Figure 1.
基于MEMS的IMU/INS生产的直接方法
本文介绍了基于微机电系统(MEMS)的惯性测量单元(IMU)和惯性导航系统(INS)的工业生产过程。在有限的时间内生产出高精度的传感器并保证其鲁棒性是IMU和INS生产中普遍存在的问题。我们今天面临的挑战是找到一个校准和性能验证过程,以系统地充分利用每个IMU。随着基于MEMS的IMU开始与其他基于高端陀螺仪的技术竞争,校准成为提高IMU性能的关键问题。光纤陀螺仪(FOG)等高端技术中常用的一种技术是将一组非特定的多位置观测数据与系统校准方法结合起来作为卡尔曼滤波器[1-4]。然而,这种方法需要超低噪声陀螺仪,具有优异的偏置稳定性和可重复性,才能正确测量地球自转速率。这些特性在MEMS上很难找到。由于该方法的动态性较低,限制了非线性和跨轴灵敏度误差的可观测性。本文提出的标定方法是基于直接过程[5]与高动态相结合的方法。高动态有助于从适当的测量中去除噪声和偏置稳定性。此外,直接方法允许掌握所有过程,并提供分离和补偿传感器制造和校准工具缺陷的可能性。最后,本文提出的性能评估和验收测试通过在整个温度范围内应用高动态校准和测量传感器误差和三位一体偏差来检查直接接近技术的一致性,如图1所示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信