Abstract
The article deals with the modeling and predictive control of real hydraulic system using artificial neural network (ANN). For the design of optimal neural network model structure we developed procedures for creation optimal-minimal structure which ensure desired model accuracy. This procedure was designed using genetic algorithms (GA) in Matlab-Simulink. The predictive control algorithm was implemented using CompactLogix programmable logic controller (PLC). The main aim of the proposed paper is design of methodology and effective real-time algorithm for possible applications in industry.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Oravec, M., Polec, J., Marchevský, S.: Neurónové siete pre číslicové spracovanie signálov. Vydavateľstvo FABER, Bratislava (1998) (in Czech)
Haykin, S.: Neural networks – A Comprehensive Foundation. Macmillan College Publishing Company, New York (1994)
Sinčák, P., Andrejková, G.: Neurónové siete – Inžiniersky prístup I, Technická univerzita, Košice (1998), http://www.ai-cit.sk/source/publications/books/NS1/html/index.html (in Slovak)
Körösi, L., Kozák, Š.: Optimal Self Tuning Neural Network Controller Design. In: 16th IFAC World Congress, Praha, Czech Repubic (2005)
Jadlovská, A.: Modelovanie a riadenie dynamických procesov s využtím neurónových sietí, Košice (2003) ISBN 80-88941 -22 -9 (in Slovak)
Dideková, Zuzana – Kajan, Slavomír: Riadenie nelineárnych systémov pomocou neurónových sietí optimalizovaných genetickými algoritmami. In: Kybernetika a informatika: Medzinárodná konferencia SSKI SAV, Vyšná Boca, SR, 10.-13.2, Vydavateľstvo STU, Bratislava (2010) ISBN 978-80-227-3241-3 (in Slovak)
Körösi, L.: Príspevok k problémom optimalizácie štruktúr umelých neurónových sietí. Dizertačná práca. Ústav riadenia a priemyselnej informatiky FEI STU, Bratislava, 126s (2010) (in Slovak)
Abdi, H., Salami, A., Ahmadi, A.: Implementation of a new neural network function block to programmable logic controllers library function. World Academy of Science, Engineering and Technology 29 (2007)
Kajan, S.: Modelovanie a riadenie systémov pomocou neurónových sietí s ortogonálnymi funkciami v prostredí MATLAB. In: Technical Computing Prague (2006): 14th Annual Conference Proceedings (in Slovak)
Mrafko, L., Mrosko, M., Körösi, L.: PLC a ich programovanie 1. Čo je to PLC? In: Posterus (2010) ISSN 1338-0087, http://www.posterus.sk/?p=6903 (in Slovak)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Körösi, L., Kozák, Š. (2013). An Effective Application of Soft Computing Methods for Hydraulic Process Control. In: Snášel, V., Abraham, A., Corchado, E. (eds) Soft Computing Models in Industrial and Environmental Applications. Advances in Intelligent Systems and Computing, vol 188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32922-7_39
Download citation
DOI: https://doi.org/10.1007/978-3-642-32922-7_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32921-0
Online ISBN: 978-3-642-32922-7
eBook Packages: EngineeringEngineering (R0)