Les Inscriptions à la Bibliothèque sont ouvertes en
ligne via le site: https://biblio.enp.edu.dz
Les Réinscriptions se font à :
• La Bibliothèque Annexe pour les étudiants en
2ème Année CPST
• La Bibliothèque Centrale pour les étudiants en Spécialités
A partir de cette page vous pouvez :
Retourner au premier écran avec les recherches... |
Détail de l'auteur
Auteur Ho Yong Kuen
Documents disponibles écrits par cet auteur
Affiner la rechercheRecursive least squares - based adaptive control of a biodiesel transesterification reactor / Ho Yong Kuen in Industrial & engineering chemistry research, Vol. 49 N° 22 (Novembre 2010)
[article]
in Industrial & engineering chemistry research > Vol. 49 N° 22 (Novembre 2010) . - pp. 11434-11442
Titre : Recursive least squares - based adaptive control of a biodiesel transesterification reactor Type de document : texte imprimé Auteurs : Ho Yong Kuen, Auteur ; Farouq S. Mjalli, Auteur ; Yeoh Hak Koon, Auteur Année de publication : 2011 Article en page(s) : pp. 11434-11442 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Reactor Transesterification Adaptive control Résumé : Proper control of biodiesel reactors poses a number of challenges. These arise from the presence of multiple chemical reactions, the complex heat and mass transfer characteristics, and the highly nonlinear dynamics. In this work, a new adaptive control scheme was implemented to automatically tune the controller on the basis of the most recent updated process dynamics. This scheme demonstrates the powerful integration of an online process modeling tool (recursive least squares, RLS) into a renowned and yet simple model-based controller design method (internal model control, IMC). Two adaptive control loops were designed, in which the sampling time of the RLS algorithm and the IMC closed loop time constant were determined by constrained optimization with the genetic algorithm. Comparison with conventional PID controllers revealed the superiority of the new adaptive control scheme in set point tracking. Good disturbance rejection properties were also demonstrated by the new adaptive control scheme. The results attained in this work demonstrate that a good adaptive control scheme can be implemented for the biodiesel transesterification reactors with minimal knowledge about the process model. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=23437842 [article] Recursive least squares - based adaptive control of a biodiesel transesterification reactor [texte imprimé] / Ho Yong Kuen, Auteur ; Farouq S. Mjalli, Auteur ; Yeoh Hak Koon, Auteur . - 2011 . - pp. 11434-11442.
Chimie industrielle
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 49 N° 22 (Novembre 2010) . - pp. 11434-11442
Mots-clés : Reactor Transesterification Adaptive control Résumé : Proper control of biodiesel reactors poses a number of challenges. These arise from the presence of multiple chemical reactions, the complex heat and mass transfer characteristics, and the highly nonlinear dynamics. In this work, a new adaptive control scheme was implemented to automatically tune the controller on the basis of the most recent updated process dynamics. This scheme demonstrates the powerful integration of an online process modeling tool (recursive least squares, RLS) into a renowned and yet simple model-based controller design method (internal model control, IMC). Two adaptive control loops were designed, in which the sampling time of the RLS algorithm and the IMC closed loop time constant were determined by constrained optimization with the genetic algorithm. Comparison with conventional PID controllers revealed the superiority of the new adaptive control scheme in set point tracking. Good disturbance rejection properties were also demonstrated by the new adaptive control scheme. The results attained in this work demonstrate that a good adaptive control scheme can be implemented for the biodiesel transesterification reactors with minimal knowledge about the process model. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=23437842