Please use this identifier to cite or link to this item:
Type: Artigo de periódico
Title: Optimal Fuzzy Control Of Batch Polymerization Reactors: Application To Pmma Production For Biomedical Purposes
Author: Lima N.M.N.
Linan L.Z.
Farias F.S.
Manenti F.
Maciel Filho R.
Embirucu M.
Wolf Maciel M.R.
Abstract: The use of polymers in the biomedical field requires that such materials have a high degree of purity and specific properties, so that their production processes must be continuously monitored and manipulated. However, the control of polymerization reactors is considered a challenging task since such systems present non-linear and transient behaviour. In this study, in order to produce poly(methyl methacrylate) scaffolds for bone tissue engineering applications, an advanced control methodology based on fuzzy models and genetic algorithms (GA) was developed to control the temperature of a pilot-scale jacketed batch reactor in which methyl methacrylate polymerization takes place. Firstly, an optimal temperature trajectory was estimated using GA. Then, a fuzzy controller was designed and applied to adjust the reactor temperature to the instantaneous profile previously calculated. The proposed control algorithm was compared to conventional PID controller, proving to be robust and more suitable and reliable for such process type. © 2014 Elsevier B.V.
Editor: Elsevier
Citation: Computer Aided Chemical Engineering. Elsevier, v. 33, n. , p. 799 - 804, 2014.
Rights: fechado
Identifier DOI: 10.1016/B978-0-444-63456-6.50134-4
Date Issue: 2014
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.