Model predictive control-based robust stabilization of a chemical reactor
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Monika Bakošová
,
Juraj Oravec
Abstract
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 model-based 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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© 2012 Institute of Chemistry, Slovak Academy of Sciences
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- Treatment of effluents from a membrane bioreactor by nanofiltration using tubular membranes
- Zeolite and potting soil sorption of CO2 and NH3 evolved during co-composting of grape and tobacco waste
- Liquid-solid equilibrium for the NaCl-NaHCO3-Na2CO3-H2O system at 45°C. Validation of mixed solvent electrolyte model
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