Exploring Alternatives for Decentralized Plant-Wide Control

DAVID ZUMOFFEN; DIEGO FEROLDI

Bariloche

Congreso; XV Reunión de Trabajo en Procesamiento de la Información y Control; 2013

Universidad Nacional de Río Negro

In this work a methodology for optimal decentralized plant-wide control (PWC) design is proposed. The overall procedure can be represented by a combinatorial problem where the multivariable control alternatives were adequately parameterized. The main PWC tasks addressed by the suggested approach are the following: 1- optimal selection of controlled and manipulated variables, 2- input-output pairing, and 3- controller sizing. The functional cost quantifies the deviations on manipulated or uncontrolled variables in a sum of square sense (Frobenius norm) by using internal model and perfect control theories. Thus, the methodology suggested here provides a systematic and generalized tool for PWC design, minimizing the heuristic considerations. In this case, the multi-bjective optimization was efficiently solved by genetic algorithms based on binary decision variables. The well-known Tennessee Eastman (TE) process is selected here for testing the methodology.