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Title Evaluation of Low-cost MEMS Accelerometers and Investigation of Inertial Algorithms for Dead Reckoning in Railway Environment
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Publication Date
Date Available
Degree Level masters
University/Publisher University of Toronto
Abstract

Low-cost micro-electro-mechanical systems (MEMS) accelerometers are gaining momentum in the defence, aerospace, transportation, and automotive industries. While highcost accelerometers are being used on subway trains for their signalling systems, this work investigates the possibility of replacing them with low-cost MEMS devices. To achieve this goal, a 3D printer was modied for use as a three-dimensional motion platform and sensors were tested based on various characteristics. In addition, the sensors were tested on subway trains. The results show that the Kionix KXRB5 accelerometer performs the best, even out-performing the high-end sensor tested. Finally, inertial algorithms were developed that were able to estimate displacements to below 5% error on the evaluation platform and subway line. Although realtime displacement estimations were not accurate due to unstable bias due to tilting, these inertial algorithms use only the accelerometer sensor and can update displacements at points of zero velocity.

M.A.S.

Subjects/Keywords accelerometer; localisation; MEMS; navigation; robotics; sensors; 0544
Contributors Johns, A David; Electrical and Computer Engineering
Country of Publication ca
Record ID handle:1807/67986
Repository toronto-thes
Date Retrieved
Date Indexed 2017-12-19

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