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Neural network contour error prediction of a bi-axial linear motor positioning system

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dc.contributor.author Erwiński, Krystian
dc.contributor.author Kowalski, Karol
dc.contributor.author Paprocki, Marcin
dc.date.accessioned 2023-03-19T16:18:40Z
dc.date.available 2023-03-19T16:18:40Z
dc.date.issued 2019
dc.identifier.citation Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2019), July 29-31, 2019 in Prague, Czech Republic; Vol. 1,
dc.identifier.isbn 978-989-758-380-3
dc.identifier.uri http://repozytorium.umk.pl/handle/item/6840
dc.description.abstract In the article a method of predicting contour error using artificial neural network for a bi-axial positioning system is presented. The machine consists of two linear stages with permanent magnet linear motors controlled by servo drives. The drives are controlled from a PC with real-time operating system via EtherCAT fieldbus. A randomly generated Non-Uniform Rational B-Spline (NURBS) trajectory is used to train offline a NARX-type artificial neural network for each axis. These networks allow prediction of following errors and contour errors of the motion trajectory. Experimental results are presented that validate the viability of the neural network based contour error prediction. The presented contour error predictor will be used in predictive control and velocity optimization algorithms of linear motor based CNC machines.
dc.language.iso eng
dc.subject following error
dc.subject contour error
dc.subject narx neural network
dc.subject NURBS
dc.subject linear motor
dc.subject feed drive model
dc.title Neural network contour error prediction of a bi-axial linear motor positioning system
dc.type info:eu-repo/semantics/conferenceObject


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