A Robust Model Predictive Controller applied to a Pressure Swing Adsorption Process: An Analysis Based on a Linear Model Mismatch

• Type: Article in International Conference Proceedings Book
• Date: 2021

Authors

Paulo H. M. Oliveira (Author) Other; Márcio A. F. Martins (Author) Other; Alírio E. Rodrigues (Author) Other; José M. Loureiro (Author) Other; Ana M. Ribeiro (Author) FEUP; Ildefonso B. R. Nogueira (Author) FEUP

Conference proceedings International

Title: IFAC PAPERSONLINE

Pages: 219-224

16th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM)

ELECTR NETWORK, JUN 13-16, 2021

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Associated Projects

LA LSRE-LCM - Financiamento Plurianual 2020-2023 para a Unidade LA LSRE-LCM Laboratório de Processos de Separação e Reacção - Laboratório de Catálise e Materiais

Other information

Authenticus ID: P-00V-F3C

DOI: 10.1016/j.ifacol.2021.08.245

Abstract (EN): The present work studies the control problem of a pressure swing adsorption (PSA) unit using a robust stabilizing infinite -horizon model predictive (RIHMPC) strategy with guarantee of feasibility for realistic mismatch scenarios. The identification of the multi -plant linear models was done based on an operating confidence region. This procedure is based on an optimal point given by an optimization layer, concomitantly with the uncertainty associated with that point. As a case study, it was evaluated the control of a PSA unit for the purification of syngas by porous amino-functionalized titanium terephthalate MIL 125 in the PSA. The results demonstrated that RIHMPC might be an efficient strategy to address the control of cyclic adsorption processes accommodating the intrinsic nonlinearities and uncertainties of these processes. Copyright (C) 2021 The Authors.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6