EXPERIMENTAL VALIDATION OF MODEL-BASED CONTROL STRATEGIES FOR MULTICOMPONENT AZEOTROPIC DISTILLATION

Abstract This work presents the results from dynamic modeling and control of an azeotropic distillation system. The model was validated with experimental data from a packed distillation unit. The physically-based process dynamic model, developed in HYSYS, was linked online with the control software used in the process. Model parameters were modified online using a feedback configuration to eliminate the difference between the process and model outputs. The fundamental model was used in the implementation of different control strategies, including a multivariable control strategy using model predictive control (MPC) software Predict Pro, via an inferential control strategy to treat missing process measurements.

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