Aplicação de uma Estratégia de Controle Preditivo não linear a um Reator de Polimerização com Múltiplos Catalisadores.
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Data
2021-05-25
Autores
Silva, Luiz Felipe Neiva da
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Universidade Federal do Espírito Santo
Resumo
Polymeric materials production is one of the most important areas in industrial activities, due to its great economic and social impact. Polypropylene, obtained by forming long chains of propylene monomer, is currently the 2nd most marketed plastic resin, representing almost two thirds of global propylene consumption, with several applications in engineering and daily life. Such economic interest forces the search for effective productivity gains while reducing costs is inherent to productive activities. Several polymerization methods, combined with production technologies and mixing of different catalysts, are used to manufacture different products. This has led to the design of multi-purpose equipment or processes that must be able to produce materials with different types of quality. In real polymerization plants, frequent changes in control objectives, nonlinear dynamics of the process, input of disturbances and the occurrence of faults pose serious operational challenges. Therefore, without a strategic and efficient control and monitoring system, multipurpose operation would not be possible. In this context, this work proposes a predictive control scheme based on a non-linear model (NMPC), which is applied to the simulation of a propylene multi-purpose polymerization reactor with the use of a mixture of 3 different catalysts. This scheme comprises a layer of supervisory control (NMPC) referring to the specification of the quality of the polymer and another layer for regulatory control (PID) to guarantee process stability. The results showed the NMPC - PID control scheme allowed improvements in the process control in all catalyst mixtures, providing good performance and consistency in the control, in addition to avoiding certain problems in the industrial scope, which highlights its potential for practical application.
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Equipamentos multipropósitos , controle preditivo baseado em modelo não linear , simulação , polimerização