Please use this identifier to cite or link to this item: https://doi.org/10.1021/ie071218y
Title: Two-layer binary tree data-driven model for valve stiction
Authors: Chen, S.-L.
Tan, K.K. 
Huang, S. 
Issue Date: 16-Apr-2008
Source: Chen, S.-L., Tan, K.K., Huang, S. (2008-04-16). Two-layer binary tree data-driven model for valve stiction. Industrial and Engineering Chemistry Research 47 (8) : 2842-2848. ScholarBank@NUS Repository. https://doi.org/10.1021/ie071218y
Abstract: Valve stiction commonly exists in process control systems. It generally leads to oscillation in control loops, which affects the product quality, increases energy consumption, and accelerates the equipment weariness. In this paper, current data-driven stiction models are first reviewed. A new data-driven model, with a simple two-layer binary tree logic structure is proposed. The logic behind the new model is carefully explained and illustrated. This model can cope with expanded types of stiction patterns, including some special cases such as linear and pure deadzone. Simulation results for both open-loop and closed-loop configurations will show the practical appeal of the proposed model. © 2008 American Chemical Society.
Source Title: Industrial and Engineering Chemistry Research
URI: http://scholarbank.nus.edu.sg/handle/10635/57733
ISSN: 08885885
DOI: 10.1021/ie071218y
Appears in Collections:Staff Publications

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