Neural Network Contour Error Prediction of a Bi-axial Linear Motor Positioning System

Krystian Erwinski, Karol Kowalski, Marcin Paprocki

2019

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.

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Paper Citation


in Harvard Style

Erwinski K., Kowalski K. and Paprocki M. (2019). Neural Network Contour Error Prediction of a Bi-axial Linear Motor Positioning System.In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-380-3, pages 802-809. DOI: 10.5220/0007957908020809


in Bibtex Style

@conference{icinco19,
author={Krystian Erwinski and Karol Kowalski and Marcin Paprocki},
title={Neural Network Contour Error Prediction of a Bi-axial Linear Motor Positioning System},
booktitle={Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2019},
pages={802-809},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007957908020809},
isbn={978-989-758-380-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Neural Network Contour Error Prediction of a Bi-axial Linear Motor Positioning System
SN - 978-989-758-380-3
AU - Erwinski K.
AU - Kowalski K.
AU - Paprocki M.
PY - 2019
SP - 802
EP - 809
DO - 10.5220/0007957908020809