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应用于振动环境的 MEMS IMU 的可靠性测试程序。

Reliability testing procedure for MEMS IMUs applied to vibrating environments.

机构信息

Department of Mechanics, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy.

出版信息

Sensors (Basel). 2010;10(1):456-74. doi: 10.3390/s100100456. Epub 2010 Jan 7.

DOI:10.3390/s100100456
PMID:22315550
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3270851/
Abstract

The diffusion of micro electro-mechanical systems (MEMS) technology applied to navigation systems is rapidly increasing, but currently, there is a lack of knowledge about the reliability of this typology of devices, representing a serious limitation to their use in aerospace vehicles and other fields with medium and high requirements. In this paper, a reliability testing procedure for inertial sensors and inertial measurement units (IMU) based on MEMS for applications in vibrating environments is presented. The sensing performances were evaluated in terms of signal accuracy, systematic errors, and accidental errors; the actual working conditions were simulated by means of an accelerated dynamic excitation. A commercial MEMS-based IMU was analyzed to validate the proposed procedure. The main weaknesses of the system have been localized by providing important information about the relationship between the reliability levels of the system and individual components.

摘要

微机电系统（MEMS）技术在导航系统中的应用正在迅速普及，但目前对于这种类型的设备的可靠性知之甚少，这对其在航空航天飞行器和其他具有中高要求的领域的应用构成了严重限制。本文提出了一种针对基于 MEMS 的惯性传感器和惯性测量单元（IMU）的可靠性测试程序，适用于振动环境。根据信号精度、系统误差和偶然误差来评估传感性能；通过加速动态激励来模拟实际工作条件。分析了一款商用基于 MEMS 的 IMU 来验证所提出的程序。通过提供有关系统和各个组件的可靠性水平之间关系的重要信息，确定了系统的主要弱点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca6d/3270851/5652db65586f/sensors-10-00456f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca6d/3270851/cdca7115415c/sensors-10-00456f1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca6d/3270851/4118f212652c/sensors-10-00456f4.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca6d/3270851/78081bb6fb13/sensors-10-00456f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca6d/3270851/b1bc9001a826/sensors-10-00456f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca6d/3270851/c58d21905afb/sensors-10-00456f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca6d/3270851/f02cbe920247/sensors-10-00456f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca6d/3270851/45841cd79837/sensors-10-00456f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca6d/3270851/5652db65586f/sensors-10-00456f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca6d/3270851/cdca7115415c/sensors-10-00456f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca6d/3270851/196f8b937e64/sensors-10-00456f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca6d/3270851/11e32e24e35f/sensors-10-00456f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca6d/3270851/4118f212652c/sensors-10-00456f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca6d/3270851/3d1cf510c41a/sensors-10-00456f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca6d/3270851/3cbf3f782dfc/sensors-10-00456f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca6d/3270851/78081bb6fb13/sensors-10-00456f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca6d/3270851/b1bc9001a826/sensors-10-00456f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca6d/3270851/c58d21905afb/sensors-10-00456f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca6d/3270851/f02cbe920247/sensors-10-00456f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca6d/3270851/45841cd79837/sensors-10-00456f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca6d/3270851/5652db65586f/sensors-10-00456f12.jpg

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