Estratégia de controle de sistema CIP baseada em modelos múltiplos

Abstract

In the industrial environment, the formation of fouling on the surfaces of equipment and pipes is a worrying problem, as they can decrease the efficiency of the process in addition to causing other operational problems. From this context comes the need for a rigorous cleaning of the facilities. With large-scale processes, Clean in Place-CIP systems emerge, a process that occurs through the circulation of water and chemicals. Currently, these systems are of fundamental importance for industries, mainly chemical and food, as they guarantee the quality and safety of products. Therefore, the CIP process is often oversized, resulting in a higher consumption of chemicals, water and energy, and in addition is very time-consuming. Thus, this work has as objective the optimization of this process and, consequently, a cost saving and less waste, generating less environmental impact, for which the dynamics behavior of the rinse stage of the CIP process was investigated, through the conductivity of the solution, identifying models that represented it for flow rates between 5L / min and 11L / min. This identification was carried out using empirical models of first-order-plus-time-delay and later through manual adjustments seeking better fits. Finally, a control strategy, obtained in the literature, was adapted for use with the conductivity variable and codified in Simulink/MATLAB™, allowing quantifying and evaluating its efficiency in terms of water and time savings. The results found demonstrate the advantage of using this control strategy in the rinse stage of CIP processes, presenting water savings of 35,43% and 47,13% for the flows determined as ideal among those studied.