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Neural Network Modeling of Valve Stiction Dynamics

H., Zabiri and Y., Samyudia and W. N. W. M. , Zainudin (2007) Neural Network Modeling of Valve Stiction Dynamics. In: Proceedings of the World Congress on Engineering and Computer Science 2007, October 24-26, 2007, San Francisco, USA.

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Abstract

Stiction is the most commonly found valve problem in the process industry. Valve stiction may cause oscillations in control loops which increases variability in product quality, accelerates equipment wear and tear, or leads to system instability. In this paper, we present a new approach in control valve stiction modeling using Recurrent Neural-Network with NARX structure. It is shown that the performance of the developed model is comparable to other models reported in literature.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Control valve stiction, neural network, modeling.
Subjects:T Technology > TP Chemical technology
Departments / MOR / COE:Departments > Chemical Engineering
ID Code:3748
Deposited By: Haslinda Zabiri
Deposited On:28 Dec 2010 07:04
Last Modified:19 Jan 2017 08:27

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