Calibration of Low-Cost Three Axis Accelerometer with Differential Evolution
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F17%3A63516831" target="_blank" >RIV/70883521:28120/17:63516831 - isvavai.cz</a>
Alternative codes found
RIV/70883521:28140/17:63516831
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-57261-1_18" target="_blank" >http://dx.doi.org/10.1007/978-3-319-57261-1_18</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-57261-1_18" target="_blank" >10.1007/978-3-319-57261-1_18</a>
Alternative languages
Result language
angličtina
Original language name
Calibration of Low-Cost Three Axis Accelerometer with Differential Evolution
Original language description
The accelerometers are used in wide range of engineering applications. However, the accuracy of accelerometer readings is influenced by many factors such as sensor errors (scale factors, non-orthogonality, and offsets); therefore, the accelerometer calibration is necessary before its use in advanced applications. This research paper describes calibration methods for three axis low-cost MEMS (Micro-Electro-Mechanical Systems) accelerometer. The first calibration algorithm uses traditional method (least square method). This method is furthermore compared with the second calibration method which uses differential evolution (DE) algorithm. The sensor error model (SEM) consists of three scale factors, three non-orthogonality errors, and three offsets. The performance of these methods is analysed in experiment on three axis low-cost accelerometer LSM303DLHC. The accelerometer readings were obtained in several precise angles. The experimental tests are conducted, and then the results are discussed and compared. The results show that the calibration error is least using DE algorithm.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Artificial Intelligence Trends in Intelligent Systems, CSOC2017, VOL 1 Book Series: Advances in Intelligent Systems and Computing
ISBN
978-3-319-57260-4
ISSN
2194-5357
e-ISSN
neuvedeno
Number of pages
10
Pages from-to
178-187
Publisher name
Springer International Publishing AG
Place of publication
Cham
Event location
Zlín
Event date
Apr 26, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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