Robustness study on NARXSP-based stiction model
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, a series-parallel Recurrent Neural Net...
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2009
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my.utp.eprints.37362017-01-19T08:25:41Z Robustness study on NARXSP-based stiction model H., Zabiri N., Mazuki TP Chemical technology 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, a series-parallel Recurrent Neural Network (NARXSP)-based stiction model is developed and its robustness against the uncertainty in the stiction parameters is tested under various conditions. It is shown that the NARXSP-based stiction model is robust when the stiction is less than 6% of the valve travel span 2009 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/3736/1/S162.pdf http://www.scopus.com/record/display.url?origin=recordpage&eid=2-s2.0-77950009735&noHighlight=false&sort=plf-f&src=s&st1=zabiri&st2=h&nlo=1&nlr=20&nls=first-t&sid=E5NmG27IsJfsII9yXMDsTvP%3a73&sot=anl&sdt=aut&sl=37&s=AU-ID%28%22Zabiri%2c+Haslinda%22+196393 H., Zabiri and N., Mazuki (2009) Robustness study on NARXSP-based stiction model. In: 2009 International Conference on Signal Acquisition and Processing, 23 April 2009 through 5 April 2009;, Kuala Lumpur. http://eprints.utp.edu.my/3736/ |
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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, a series-parallel Recurrent Neural Network (NARXSP)-based stiction model is developed and its robustness against the uncertainty in the stiction parameters is tested under various conditions. It is shown that the NARXSP-based stiction model is robust when the stiction is less than 6% of the valve travel span |
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Conference or Workshop Item |
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H., Zabiri N., Mazuki |
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H., Zabiri N., Mazuki |
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H., Zabiri |
title |
Robustness study on NARXSP-based stiction model |
title_short |
Robustness study on NARXSP-based stiction model |
title_full |
Robustness study on NARXSP-based stiction model |
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Robustness study on NARXSP-based stiction model |
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Robustness study on NARXSP-based stiction model |
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robustness study on narxsp-based stiction model |
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2009 |
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http://eprints.utp.edu.my/3736/1/S162.pdf http://www.scopus.com/record/display.url?origin=recordpage&eid=2-s2.0-77950009735&noHighlight=false&sort=plf-f&src=s&st1=zabiri&st2=h&nlo=1&nlr=20&nls=first-t&sid=E5NmG27IsJfsII9yXMDsTvP%3a73&sot=anl&sdt=aut&sl=37&s=AU-ID%28%22Zabiri%2c+Haslinda%22+196393 http://eprints.utp.edu.my/3736/ |
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