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Aprimoramento do Desempenho do Controlador Preditivo Multivariável Aplicado em Coluna Depropanizadora Utilizando Filtro de Kalman
(Instituto de Tecnologia, 2019) GOMES, Cássio Ferreira; MACEDO, Emanuel Negrão
The increase in the efficiency of industrial processes has become essential due to high market competitiveness. In this context, techniques that improve the performance efficiency of industrial plant control systems, minimizing costs and maximizing product quality, are relevant. The use of the Kalman Filter in process variables that feed control systems allows noise and uncertainty reduction, improving stability and industrial system performance. This study presents the results of the Kalman Filter implementation in the depropanizer column of an industrial process, controlled by a Multivariable Predictive Controller, using real data and simulations in the MATLAB/SIMULINK platform.