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Calibration of low-cost three axis accelerometer with differential evolution

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dc.title Calibration of low-cost three axis accelerometer with differential evolution en
dc.contributor.author Kunčar, Aleš
dc.contributor.author Sysel, Martin
dc.contributor.author Urbánek, Tomáš
dc.relation.ispartof Advances in Intelligent Systems and Computing
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9783319572604
dc.date.issued 2017
utb.relation.volume 573
dc.citation.spage 178
dc.citation.epage 187
dc.event.title 6th Computer Science On-line Conference, CSOC 2017
dc.event.sdate 2017-04-26
dc.event.edate 2017-04-29
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Verlag
dc.identifier.doi 10.1007/978-3-319-57261-1_18
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-57261-1_18
dc.subject Accelerometer en
dc.subject Calibration en
dc.subject Differential evolution en
dc.subject Least square method en
dc.subject MEMS en
dc.subject Sensor en
dc.description.abstract 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, nonorthogonality, 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. © Springer International Publishing AG 2017. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1007376
utb.identifier.obdid 43876836
utb.identifier.scopus 2-s2.0-85018703478
utb.identifier.wok 000405337000018
utb.source d-scopus
dc.date.accessioned 2017-09-08T12:14:47Z
dc.date.available 2017-09-08T12:14:47Z
dc.description.sponsorship IGA/FAI/2017/007, UTB, Univerzita Tomáše Bati ve Zlíně
dc.description.sponsorship Internal Grant Agency of Tomas Bata University in Zlin [IGA/FAI/2017/007]
utb.contributor.internalauthor Kunčar, Aleš
utb.contributor.internalauthor Sysel, Martin
utb.contributor.internalauthor Urbánek, Tomáš
utb.fulltext.affiliation Ales Kuncar, Martin Sysel, Tomas Urbanek Faculty of Applied Informatics, Tomas Bata University in Zlin, Namesti T.G. Masaryka 5555, 76001 Zlin, Czech Republic {kuncar,sysel,turbanek}@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
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