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Nonlinear multivariable power plant coordinate control by constrained predictive scheme / Xiangjie Liu in IEEE Transactions on control systems technology, Vol. 18 N° 5 (Septembre 2010) 

Public ISBD [article]  in IEEE Transactions on control systems technology > Vol. 18 N° 5 (Septembre 2010) . - pp. 1116-1125 Titre : Nonlinear multivariable power plant coordinate control by constrained predictive scheme Type de document : texte imprimé Auteurs : Xiangjie Liu, Auteur ; Ping Guan, Auteur ; Chan, C. W., Auteur Année de publication : 2011 Article en page(s) : pp. 1116-1125 Note générale : Génie Aérospatial Langues : Anglais (eng) Mots-clés : Coordinate  control  Input-output  feedback  Linearization  Neuro-fuzzy  networks  nonlinear  predictive  control Index. décimale : 629.1 Résumé : A coordinated control strategy is often used to ensure a thermal power plant to have a higher rate of load change, but without violating the thermal constraints. Although model predictive control has been widely used for controlling power plant, handling input constraints is a major problem especially as these plants are nonlinear. Two alternative methods of exploiting the nonlinear predictive control are presented in this paper. One is the input-output feedback linearization technique based on a suitably chosen approximated linear model. The other is based on neuro-fuzzy networks to represent a nonlinear dynamic process using a set of local models. From the criteria based on the integral absolute errors and the relative optimization time for completing the simulation, it is shown that the performance of the coordinated control of a steam-boiler generation plant using these two nonlinear predictive methods are better than the conventional predictive method. DEWEY : 629.1 ISSN : 1063-6536 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5325642 [article] Nonlinear multivariable power plant coordinate control by constrained predictive scheme [texte imprimé] / Xiangjie Liu, Auteur ; Ping Guan, Auteur ; Chan, C. W., Auteur . - 2011 . - pp. 1116-1125. Génie Aérospatial Langues : Anglais (eng) in IEEE Transactions on control systems technology > Vol. 18 N° 5 (Septembre 2010) . - pp. 1116-1125 Mots-clés : Coordinate  control  Input-output  feedback  Linearization  Neuro-fuzzy  networks  nonlinear  predictive  control Index. décimale : 629.1 Résumé : A coordinated control strategy is often used to ensure a thermal power plant to have a higher rate of load change, but without violating the thermal constraints. Although model predictive control has been widely used for controlling power plant, handling input constraints is a major problem especially as these plants are nonlinear. Two alternative methods of exploiting the nonlinear predictive control are presented in this paper. One is the input-output feedback linearization technique based on a suitably chosen approximated linear model. The other is based on neuro-fuzzy networks to represent a nonlinear dynamic process using a set of local models. From the criteria based on the integral absolute errors and the relative optimization time for completing the simulation, it is shown that the performance of the coordinated control of a steam-boiler generation plant using these two nonlinear predictive methods are better than the conventional predictive method. DEWEY : 629.1 ISSN : 1063-6536 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5325642