Nonlinear model-based control of an experimental reverse-osmosis water desalination system / Alex R. Bartman in Industrial & engineering chemistry research, Vol. 48 N° 13 (Juillet 2009)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 48 N° 13 (Juillet 2009) . - pp. 6126–6136 Titre : Nonlinear model-based control of an experimental reverse-osmosis water desalination system Type de document : texte imprimé Auteurs : Alex R. Bartman, Auteur ; Panagiotis D. Christofides, Auteur ; Yoram Cohen, Auteur Année de publication : 2009 Article en page(s) : pp. 6126–6136 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Reverse-osmosis membrane water desalination system Nonlinear model-based control Résumé : This work focuses on the design and implementation of a nonlinear model-based control system on an experimental reverse-osmosis (RO) membrane water desalination system to address large set-point changes and variations in feedwater salinity. A dynamic nonlinear lumped-parameter model is derived using first-principles, and its parameters are computed from experimental data to minimize the error between model predictions and experimental RO system response. This model then is used as the basis for the design of a nonlinear control system, using geometric control techniques. The nonlinear control system is implemented on the experimental RO system, and its set-point tracking and disturbance rejection capabilities are successfully evaluated. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie900322x [article] Nonlinear model-based control of an experimental reverse-osmosis water desalination system [texte imprimé] / Alex R. Bartman, Auteur ; Panagiotis D. Christofides, Auteur ; Yoram Cohen, Auteur . - 2009 . - pp. 6126–6136. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 13 (Juillet 2009) . - pp. 6126–6136 Mots-clés : Reverse-osmosis membrane water desalination system Nonlinear model-based control Résumé : This work focuses on the design and implementation of a nonlinear model-based control system on an experimental reverse-osmosis (RO) membrane water desalination system to address large set-point changes and variations in feedwater salinity. A dynamic nonlinear lumped-parameter model is derived using first-principles, and its parameters are computed from experimental data to minimize the error between model predictions and experimental RO system response. This model then is used as the basis for the design of a nonlinear control system, using geometric control techniques. The nonlinear control system is implemented on the experimental RO system, and its set-point tracking and disturbance rejection capabilities are successfully evaluated. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie900322x

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