Dynamic modeling and explicit/multi-parametric MPC control of pressure swing adsorption systems
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ArticleDate
2011-01Permanent link to this record
http://hdl.handle.net/10754/598026
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Pressure swing adsorption (PSA) is a flexible, albeit complex gas separation system. Due to its inherent nonlinear nature and discontinuous operation, the design of a model based PSA controller, especially with varying operating conditions, is a challenging task. This work focuses on the design of an explicit/multi-parametric model predictive controller for a PSA system. Based on a system involving four adsorbent beds separating 70% H2, 30% CH4 mixture into high purity hydrogen, the key controller objective is to fast track H2 purity to a set point value of 99.99%. To perform this task, a rigorous and systematic framework is employed. First, a high fidelity detailed dynamic model is built to represent the system's real operation, and understand its dynamic behavior. The model is then used to derive appropriate linear models by applying suitable system identification techniques. For the reduced models, a model predictive control (MPC) step is formulated, where latest developments in multi-parametric programming and control are applied to derive a novel explicit MPC controller. To test the performance of the designed controller, closed loop simulations are performed where the dynamic model is used as the virtual plant. Comparison studies of the derived explicit MPC controller are also performed with conventional PID controllers. © 2010 Elsevier Ltd. All rights reserved.Citation
Khajuria H, Pistikopoulos EN (2011) Dynamic modeling and explicit/multi-parametric MPC control of pressure swing adsorption systems. Journal of Process Control 21: 151–163. Available: http://dx.doi.org/10.1016/j.jprocont.2010.10.021.Sponsors
Financial support from the Royal Commission for the Exhibition of 1851, ParOS Ltd., EU project HY2SEPS (contract number: 019887), and KAUST is sincerely acknowledged. The authors would also like to thank HY2SEPS for kindly providing the experimental data for the gas solid system.Publisher
Elsevier BVJournal
Journal of Process Controlae974a485f413a2113503eed53cd6c53
10.1016/j.jprocont.2010.10.021