A Black-Box Approach in Modeling Valve Stiction

H., Zabiri and N., Mazuki (2010) A Black-Box Approach in Modeling Valve Stiction. International Journal of Engineering and Applied Sciences, 6 (5). pp. 277-284. ISSN 2070-3880

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Official URL: http://www.waset.org/journals/ijeas/v6/v6-5-42.pdf


Several valve stiction models have been proposed in the literature to help understand and study the behavior of sticky valves. In this paper, an alternative black-box modeling approach based on Neural Network (NN) is presented. It is shown that with proper network type and optimum model structures, the performance of the developed NN stiction model is comparable to other established method. The resulting NN model is also tested for its robustness against the uncertainty in the stiction parameter values. Predictive mode operation also shows excellent performance of the proposed model for multi-steps ahead prediction.

Item Type:Article
Uncontrolled Keywords:Control valve stiction, neural network, modeling.
Subjects:T Technology > TP Chemical technology
Departments / MOR / COE:Departments > Chemical Engineering
ID Code:3730
Deposited By: Haslinda Zabiri
Deposited On:28 Dec 2010 06:50
Last Modified:19 Jan 2017 08:24

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