Online Process Optimization with Active Constraint Set Changes using Simple Control Structures

Abstract

The purpose of this paper is to show that online process optimization can be achieved using simple control structures without the need for solving numerical optimization problems online. In particular, we show that changes in active constraint regions can be handled using simple logics such as selectors, without needing to identify the exact location of the active constraint regions a priori, nor using a detailed model online. Good case studies are used to clearly demonstrate how optimal operation can be achieved with changes in active constraint regions using simple feedback control structures.