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|Type:||Artigo de evento|
|Title:||Development Of Fuzzy Dynamic Models: Application To Polymerization Systems|
Maciel Filho R.
|Abstract:||This work presents the development of dynamic models based in the fuzzy systems for polymerization processes. These reactions present a highly non linear dynamic behavior, thus making difficult the attainment of mathematical models for conventional methods. The solution copolymerization of methyl methacrylate and vinyl acetate in a continuous stirred tank reactor is used to illustrate the generation of the proposed model. Factorial planning was used to discriminate the process variables with higher impact on the system performance (effects) and they are used to built up a dynamic model based on the functional fuzzy relationship of Takagi-Sugeno type. These models present an excellent capacity to represent dynamic data. 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 plant for generation of identification data. Fuzzy dynamic models showed satisfactory predictive capabilities, and may be an interesting alternative to attack problems of modeling in chemical processes.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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