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dc.contributor.authorŠumanas, Marius
dc.contributor.authorUrbonis, Darius
dc.contributor.authorPetronis, Algirdas
dc.contributor.authorStankaitis, Simonas
dc.contributor.authorJanuškevičius, Tomas
dc.contributor.authorIljin, Igor
dc.contributor.authorDzedzickis, Andrius
dc.contributor.authorBučinskas, Vytautas
dc.date.accessioned2023-09-18T20:44:38Z
dc.date.available2023-09-18T20:44:38Z
dc.date.issued2021
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/152258
dc.description.abstractDefinition of movement trajectories using absolute sensors is a challenging problem in various application fields due to the appearing additive errors. For the trajectory definition, most often used Inertial measurement units (IMU) consisting of accelerometers, gyroscopes, and magnetometers require the implementation of sensor fusion algorithms and complex data processing. In this research, we investigated the possibility to use cheap 3-axis accelerometer for movement trajectory definition and reproduction. Six degrees of freedom industrial articulated robot was used as a source of ideal trajectories. Obtained results show that using 3-axis accelerometer and relatively simple data processing; raw data mean value offset correction and double integration it is possible to define 2D and 3D trajectories in respect of reference point. In our case, the maximum reproduction error did not exceed 21 mm for, 314 mm length 2D trajectory, and correspondingly 7 mm for the 3D trajectory of the same length. Also, we defined that reproduction errors are proportional to the length of trajectory in the separately taken axis.eng
dc.formatPDF
dc.format.extentp. 309-318
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.ispartofseriesAdvances in intelligent systems and computing (AISC) vol. 1390 2194-5357 2194-5365
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbySpringerLink
dc.source.urihttps://doi.org/10.1007/978-3-030-74893-7_29
dc.titleEvaluation of motion characteristics using absolute sensors
dc.typeStraipsnis konferencijos darbų leidinyje Scopus DB / Paper in conference publication in Scopus DB
dcterms.references13
dc.type.pubtypeP1b - Straipsnis konferencijos darbų leidinyje Scopus DB / Article in conference proceedings Scopus DB
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyMechanikos fakultetas / Faculty of Mechanics
dc.contributor.departmentMechatronikos, robotikos ir skaitmeninės gamybos katedr... / Department of Mechatronics, Robotics and Digital Manufa...
dc.subject.researchfieldT 009 - Mechanikos inžinerija / Mechanical enginering
dc.subject.studydirectionE06 - Mechanikos inžinerija / Mechanical engineering
dc.subject.vgtuprioritizedfieldsMC03 - Išmaniosios įterptinės sistemos / Smart embedded systems
dc.subject.ltspecializationsL104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies
dc.subject.enabsolute sensors
dc.subject.enaccelerometers
dc.subject.ensignal processing
dc.subject.enposition detection
dc.subject.enmovement trajectory
dcterms.sourcetitleAutomation 2021: Recent achievements in automation, robotics and measurement techniques
dc.publisher.nameSpringer
dc.publisher.cityCham
dc.identifier.doi10.1007/978-3-030-74893-7_29
dc.identifier.elaba96385205


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