Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/102883
Type: Artigo de evento
Title: Development Of Dynamic Models And Predictive Control By Fuzzy Logic For Polymerization Processes
Author: Lima N.M.N.
Maciel Filho R.
Embirucu M.
Abstract: This work presents the development of a predictive hybrid controller (PHC) based in fuzzy systems for polymerization processes. These reactions have typically a highly non linear dynamic behavior, thus making the performance of controllers based on conventional internal models to be poor or to require a lot of effort in controller tuning. The solution copolymerization of methyl methacrylate and vinyl acetate in a continuous stirred tank reactor is used to illustrate the performance of the proposed controller. It is introduced the development of a methodology for the design of the predictive controller based on functional fuzzy dynamic models of Takagi-Sugeno type. These models present an excellent capacity to represent dynamic data and this feature is explored in the proposed hybrid controller. Moreover, they allow the inclusion of qualitative or operational information of the process. Gaussian membership functions are used for the fuzzy sets and model determination (rules number and model parameters) is obtained from the process database. The treatment of these data for the fuzzy model determination is carried out by means of algorithms of subtractive clustering and least squares. The kinetic parameters and reactor operating conditions are obtained from the literature and a mathematical model is considered as a virtual plant for data generation and process identification. The modeling by the fuzzy approach showed to have a good potential for the processes representation. The PHC controller was compared to the dynamic matrix controller (DMC) to the regulatory and servo problems. The obtained results showed that the proposed control is robust and it requires less computational time than the conventional predictive controllers, being an interesting alternative to attack control problems in complex chemical processes.
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Rights: fechado
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Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-34748867773&partnerID=40&md5=1b1e21acaa9de1ea9f2922ab6a4f77ce
Date Issue: 2006
Appears in Collections:Unicamp - Artigos e Outros Documentos

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