Abstract
The paper deals with the applications of artificial neural networks in modelling and control of a continuous tinning line’s technological part. In the conclusion part of the paper, description of the whole model of the tinning line technological section together with the neural speed estimators is presented, along with an evaluation of the achieved simulation results. Training of individual neural networks was performed off-line and adaptation of the network parameters was done by Levenberg-Marquardt’s modification of the back-propagation algorithm. The DC drives were simulated in program Matlab with Simulink toolbox and neural networks were proposed in the Matlab environment by use of Neural Networks Toolbox.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Company documentation ARTEP VSŽ, k. p. Košice (1999)
Vas, P.: Artificial-Intelligence-based electrical machines and drives. Oxford University Press, Oxford (1999)
Timko, J., Žilková, J., Balara, D.: Artificial neural networks applications in electrical drives, p. 239. TU of Košice (2002) (in Slovak)
Nitu, E., Iordache, M., Marincei, L., Charpentier, I., Le Coz, G., Ferron, G., Ungureanu, I.: FE-modeling of cold rolling by in-feed method of circular grooves. Strojniski Vestnik – Journal of Mechanical Engineering 57(9), 667–673 (2011)
Timko, J., Žilková, J., Girovský, P.: Modelling and control of electrical drives using neural networks, p. 202. C-Press, Košice (2009) (in Slovak)
Brandštetter, P.: AC drives - Modern control methods. VŠB-TU Ostrava (1999)
Levin, A.U., Narendra, K.S.: Control of Nonlinear Dynamical Systems Using Neural Networks: Controllability and Stabilization. IEEE Transactions on Neural Networks 4, 192–206 (1993)
Levin, A.U., Narendra, K.S.: Control of Nonlinear Dynamical Systems Using Neural Networks- Part II: Observability, Identification and Control. IEEE Transactions on Neural Networks 7, 30–42 (1996)
Hagan, M.T., Demuth, H.B., De Jesús, O.: An introduction to the use of neural networks in control systems. International Journal of Robust and Nonlinear Control 12, 959–985 (2002)
Perduková, D., Fedor, P., Timko, J.: Modern methods of complex drives control. Acta Technica CSAV 49, 31–45 (2004)
Vittek, J., Dodds, S.J.: Forced dynamics control of electric drives. ZU, Žilina (2003)
Žilková, J.: Artificial neural networks in process control, p. 50. TU of Košice, Košice (2001)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Žilková, J., Girovský, P., Batmend, M. (2014). Modelling the Technological Part of a Line by Use of Neural Networks. In: Herrero, Á., et al. International Joint Conference SOCO’13-CISIS’13-ICEUTE’13. Advances in Intelligent Systems and Computing, vol 239. Springer, Cham. https://doi.org/10.1007/978-3-319-01854-6_36
Download citation
DOI: https://doi.org/10.1007/978-3-319-01854-6_36
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-01853-9
Online ISBN: 978-3-319-01854-6
eBook Packages: EngineeringEngineering (R0)