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Analysis and tuning of RTD - A controllers / Antonius Yudi Sendjaja in Industrial & engineering chemistry research, Vol. 50 N° 6 (Mars 2011) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 50 N° 6 (Mars 2011) . - pp. 3415-3425 Titre : Analysis and tuning of RTD - A controllers Type de document : texte imprimé Auteurs : Antonius Yudi Sendjaja, Auteur ; Zhen Fu Ng, Auteur ; Si Si How, Auteur Année de publication : 2011 Article en page(s) : pp. 3415-3425 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Residence  time  distribution Résumé : RTD-A controller has recently been proposed as an alternative to the proportional-integral-derivative (PID) controller for control of single-input single-output systems. The RTD-A controller maintains the simplicity like the PID controller, has predictive capabilities like model predictive controller, and allows easier tuning of the controller parameters to achieve desired closed-loop performance. The available tuning rule for RTD-A controllers are aggressive, and their application to practical problems can be difficult. In this paper, a block diagram representation of the RTD-A controller is developed. It is shown that the RTD-A controller can be viewed as a generalized analytical predictor augmented with noise and set point filters. On the basis of the block diagram representation, semianalytical tuning rules are proposed for the RTD-A algorithm. It is shown that the RTD-A controller tuned using the proposed rule provides reasonable performance for a wide class of processes including inverse response and delay-dominant processes. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=23944508 [article] Analysis and tuning of RTD - A controllers [texte imprimé] / Antonius Yudi Sendjaja, Auteur ; Zhen Fu Ng, Auteur ; Si Si How, Auteur . - 2011 . - pp. 3415-3425. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 6 (Mars 2011) . - pp. 3415-3425 Mots-clés : Residence  time  distribution Résumé : RTD-A controller has recently been proposed as an alternative to the proportional-integral-derivative (PID) controller for control of single-input single-output systems. The RTD-A controller maintains the simplicity like the PID controller, has predictive capabilities like model predictive controller, and allows easier tuning of the controller parameters to achieve desired closed-loop performance. The available tuning rule for RTD-A controllers are aggressive, and their application to practical problems can be difficult. In this paper, a block diagram representation of the RTD-A controller is developed. It is shown that the RTD-A controller can be viewed as a generalized analytical predictor augmented with noise and set point filters. On the basis of the block diagram representation, semianalytical tuning rules are proposed for the RTD-A algorithm. It is shown that the RTD-A controller tuned using the proposed rule provides reasonable performance for a wide class of processes including inverse response and delay-dominant processes. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=23944508

Minimum variance benchmark for performance assessment of decentralized controllers / Antonius Yudi Sendjaja in Industrial & engineering chemistry research, Vol. 51 N° 11 (Mars 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 11 (Mars 2012) . - pp. 4288-4298 Titre : Minimum variance benchmark for performance assessment of decentralized controllers Type de document : texte imprimé Auteurs : Antonius Yudi Sendjaja, Auteur ; Vinay Kariwala, Auteur Année de publication : 2012 Article en page(s) : pp. 4288-4298 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Benchmarks Résumé : The available minimum variance (MV) benchmarks do not take the controller structure into account and thus can lead to incorrect conclusions regarding the performance of decentralized controllers. In this paper, we present a method for computing a lower bound on the least output variance achievable using decentralized controllers, where the nonconvexity of the optimization problem is handled using sums of squares programming. Though tight, the computation of this lower bound requires that the process model be known. As a more practical approach, we derive an MV benchmark for performance assessment of decentralized controllers on a loop by loop basis. The MV benchmark for loop by loop analysis can be estimated from the closed loop operating data with the knowledge of time delays between all the inputs and outputs. The usefulness of the proposed benchmarks is demonstrated using simulation examples. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25655638 [article] Minimum variance benchmark for performance assessment of decentralized controllers [texte imprimé] / Antonius Yudi Sendjaja, Auteur ; Vinay Kariwala, Auteur . - 2012 . - pp. 4288-4298. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 11 (Mars 2012) . - pp. 4288-4298 Mots-clés : Benchmarks Résumé : The available minimum variance (MV) benchmarks do not take the controller structure into account and thus can lead to incorrect conclusions regarding the performance of decentralized controllers. In this paper, we present a method for computing a lower bound on the least output variance achievable using decentralized controllers, where the nonconvexity of the optimization problem is handled using sums of squares programming. Though tight, the computation of this lower bound requires that the process model be known. As a more practical approach, we derive an MV benchmark for performance assessment of decentralized controllers on a loop by loop basis. The MV benchmark for loop by loop analysis can be estimated from the closed loop operating data with the knowledge of time delays between all the inputs and outputs. The usefulness of the proposed benchmarks is demonstrated using simulation examples. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25655638