Accurate pressure prediction of a servo-valve controlled hydraulic system

Date

2012-10-01

Author

KILIÇ, Ergin
Dölen, Melik
Koku, Ahmet Buğra
Çalışkan, Hakan
Balkan, Raif Tuna

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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The main goal of this paper is to predict the chamber pressures in hydraulic cylinder of a servo-valve controlled hydraulic system accurately using advanced modeling tools like artificial neural networks. After showing that the black-box modeling approaches are not sufficient for long-term prediction of pressures, a structured neural network model is proposed to capture the pressure dynamics of this inherently non-linear system. The paper shows that the proposed network model could be easily trained to predict the pressure dynamics of an experimental hydraulic test setup provided that the training session is initiated with the weights of the developed model.

Subject Keywords

Hydraulic system, Pressure dynamics, Nonlinear system modeling, Long-term prediction, Structured neural network

URI

https://hdl.handle.net/11511/48572

Journal

MECHATRONICS

DOI

https://doi.org/10.1016/j.mechatronics.2012.08.001

Collections

Department of Mechanical Engineering, Article

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Citation Formats

E. KILIÇ, M. Dölen, A. B. Koku, H. Çalışkan, and R. T. Balkan, “Accurate pressure prediction of a servo-valve controlled hydraulic system,” MECHATRONICS, pp. 997–1014, 2012, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48572.