Controle Ótimo da Fermentação Alcoólica em Reator Batelada Alimentada usando Computação Bio-Inspirada

Abstract

The fed-batch operation is recognized by soften the inhibition effects caused by product and substrate in alcoholic fermentation process. The dynamic optimization of this process for purposes of productivity maximization, through control of substrate feed flow, characterizes a singular optimal control problem of difficult solution due to differential index fluctuation. In this work, this optimization problem is solved using the Bat Colony Algorithm, bio-inspired technique in nature that is based on social behavior of bats colonies. The results obtained with this algorithm are compared to a strategy used for transformation of original problem in one of phases identification. In application proposed are considered constraints of productivity, control variable and volume, for operation with free time.