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Iterative tuning of internal model controllers with application to air/fuel ratio control / Daniel Rupp in IEEE Transactions on control systems technology, Vol. 18 N° 1 (Janvier 2010) 

Public ISBD [article]  in IEEE Transactions on control systems technology > Vol. 18 N° 1 (Janvier 2010) . - pp. 177-184 Titre : Iterative tuning of internal model controllers with application to air/fuel ratio control Type de document : texte imprimé Auteurs : Daniel Rupp, Auteur ; Lino Guzzella, Auteur Année de publication : 2011 Article en page(s) : pp. 177-184 Note générale : Génie Aérospatial Langues : Anglais (eng) Mots-clés : Air/fuel  ratio  (AFR)  Identification  for  control  Internal  model  control  Iterative  feedbak  tuning  (IFT)  Oxygen  sensor Index. décimale : 629.1 Résumé : A new tuning method for internal model controllers (IMCs) is presented. The parameters of an IMC can be structurally assigned to two groups: 1) parameters of the internal model and 2) parameters of the controller. The method described in this brief suggests a sequential tuning of the two parameter groups. For both groups, the parameter values are found by minimizing a predefined cost function. The optimization is run with a gradient-based minimization procedure where, analogously to the well-known iterative feedback tuning (IFT) scheme, the gradients are computed from signals obtained from closed-loop experiments. Thus, for the calculation of the gradient, the unknown plant is utilized, whereas other ??local?? tuning methods suggest the replacement of the real plant by its model to calculate the gradient. The main advantages of the suggested algorithm are its inherent operation in the closed control loop and the fact that, for the tuning of the internal model, no information about the disturbance model is required. The method can be used either for an initial tuning of the controller or for autotuning during operation. DEWEY : 629.1 ISSN : 1063-6536 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5075514 [article] Iterative tuning of internal model controllers with application to air/fuel ratio control [texte imprimé] / Daniel Rupp, Auteur ; Lino Guzzella, Auteur . - 2011 . - pp. 177-184. Génie Aérospatial Langues : Anglais (eng) in IEEE Transactions on control systems technology > Vol. 18 N° 1 (Janvier 2010) . - pp. 177-184 Mots-clés : Air/fuel  ratio  (AFR)  Identification  for  control  Internal  model  control  Iterative  feedbak  tuning  (IFT)  Oxygen  sensor Index. décimale : 629.1 Résumé : A new tuning method for internal model controllers (IMCs) is presented. The parameters of an IMC can be structurally assigned to two groups: 1) parameters of the internal model and 2) parameters of the controller. The method described in this brief suggests a sequential tuning of the two parameter groups. For both groups, the parameter values are found by minimizing a predefined cost function. The optimization is run with a gradient-based minimization procedure where, analogously to the well-known iterative feedback tuning (IFT) scheme, the gradients are computed from signals obtained from closed-loop experiments. Thus, for the calculation of the gradient, the unknown plant is utilized, whereas other ??local?? tuning methods suggest the replacement of the real plant by its model to calculate the gradient. The main advantages of the suggested algorithm are its inherent operation in the closed control loop and the fact that, for the tuning of the internal model, no information about the disturbance model is required. The method can be used either for an initial tuning of the controller or for autotuning during operation. DEWEY : 629.1 ISSN : 1063-6536 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5075514