A Proposal to Include the Information of Disturbances in Modifier Adaptation Methodology for Real Time Optimization

Abstract This work presents an extension of the Modifier-Adaptation (MA) methodology for Real-Time Optimization (RTO), to include the available information of uncontrolled input variables in the estimation of plant gradients. The idea is to extend the applicability of this method for processes where disturbances affect the quantities involved in the necessary conditions of optimality of the process. The implementation was carried out in a simulated flotation column, including the effect disturbances coming from of contiguous units. The dual approach was used to estimate the process gradients. Results show that the system is able to follow the trajectory of the real optimum of the process under continuously changing scenario, unlike traditional MA.