Compensation of Linear Acceleration in Single-Mass MEMS Gyroscope

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F19%3APU130440" target="_blank" >RIV/00216305:26210/19:PU130440 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Compensation of Linear Acceleration in Single-Mass MEMS Gyroscope
Original language description
Single mass MEMS gyroscopes suffer from significant sensitivity to linear acceleration also known as gsensitivity. In the case of multi-axis inertia measurement unit (IMU), we could benefit from direct acceleration measurement to suppress the influence of linear acceleration on gyroscope output. In this paper, we will derive a gyroscope dynamic model, pointing out the influence of linear acceleration, evaluate the performance of common fusion algorithm and suggest a method for compensation of linear acceleration sensitivity using artificial neural network (ANN). The neural network was designed as a nonlinear autoregressive neural network with external input (NARX). The proposed method is experimentally tested on the real system with emphasis on tilt estimation. A comparison of tilt measurement against tilt estimator based on ANN and conventional fusion algorithm is made. Results suggest that the accuracy was improved with the proposed ANN.
Czech name
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Czech description
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Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
PROCEEDINGS OF THE 2018 18TH INTERNATIONAL CONFERENCE ON MECHATRONICS - MECHATRONIKA (ME)
ISBN
978-80-214-5542-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
338-343
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Brno
Event date
Dec 5, 2018
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
000465104200053

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