A Methodology for Control Structure Selection based on Rigorous Process Models
Abstract
In this contribution, a systematic procedure for control structure selection based on rigorous models is presented. The basic idea is that a feedback controller that regulates certain measurable quantities to their set-points should steer the process towards its economic optimum in the presence of disturbances and model uncertainties. This part of the analysis is performed for the stationary behaviour of the regulated process, dynamic aspects are considered in a second step where the dynamic controllability of the economically superior structures is assessed. The stationary analysis is performed for rigorous nonlinear plant models. The methodology is applied to a reactive distillation process.
