Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/95744
Type: Artigo de periódico
Title: Nonlinear Dynamic Matrix Control With Data Reconciliation Algorithm To A Polymerization System
Author: Barbosa Jr. V.P.
Maciel Filho R.
Abstract: The autocatalytic nature and multivariability of polymeric processes make the mathematical model process highly nonlinear. In addition, it is necessary to consider that the measured variable is subject to different degrees to error and so must be reconciliated aiming fo avoid degradation of the process and system control performances. This work presents a procedure to establish a dynamic data reconciliation into a feedback control loop obtained by minimization of special designed objective function. The proposed methodology is based on the use of nonlinear predictive control techniques - Nonlinear Dynamic Matrix Control (NDMC) - associated to data reconciliation procedures, which is based on Nonlinear Programming (NLP) techniques. The algorithm developed will be implemented computational to a styrene polymerization system. The predictive control techniques are robust and when applied to polymeric system allows to make the system to have desirable dynamic characteristics.
Editor: 
Rights: fechado
Identifier DOI: 
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-33749483248&partnerID=40&md5=5deec47fc7c3ef98313189bee77017b4
Date Issue: 1996
Appears in Collections:Unicamp - Artigos e Outros Documentos

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