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Model predictive control-based robust stabilization of a chemical reactor

✍ Scribed by BakoÅ¡ová, Monika; Oravec, Juraj; Matejičková, Katarína


Book ID
120813966
Publisher
Versita
Year
2013
Tongue
English
Weight
444 KB
Volume
67
Category
Article
ISSN
0366-6352

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✦ Synopsis


The paper addresses an approach to robust stabilization of chemical continuous stirred tank reactors. State feedback was used for the stabilization and the feedback controller was designed using the robust model-based predictive control algorithm in which the symmetric constraints on input and output variables are taken into account. The known strategy was modified by adding integral action to the controller. Parameters of robust feedback controllers with and without integral action were found as solutions of a constrained optimization problem solved on the infinite prediction horizon. The possibility to stabilize chemical reactors with uncertainty using the robust modelbased predictive control has been verified by simulations and compared with the optimal linear quadratic control and the model-based predictive control. The obtained results confirm that the robust model-based predictive control provides better results than other approaches.


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