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Robust Output Model Predictive Control of an Unstable Rijke Tube
Author(s) -
Fabian Jarmolowitz,
Christopher Groß-Weege,
Thomas Lammersen,
Dirk Abel
Publication year - 2012
Publication title -
journal of combustion
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.45
H-Index - 18
eISSN - 2090-1968
pISSN - 2090-1976
DOI - 10.1155/2012/927345
Subject(s) - control theory (sociology) , model predictive control , observer (physics) , computer science , linear matrix inequality , stability (learning theory) , robust control , linear system , controller (irrigation) , robustness (evolution) , internal model , range (aeronautics) , full state feedback , control (management) , mathematics , control system , mathematical optimization , engineering , physics , artificial intelligence , mathematical analysis , agronomy , biochemistry , machine learning , aerospace engineering , gene , electrical engineering , biology , chemistry , quantum mechanics
This work investigates the active control of an unstable Rijke tube using robust output model predictive control (RMPC). As internal model a polytopic linear system with constraints is assumed to account for uncertainties. For guaranteed stability, a linear state feedback controller is designed using linear matrix inequalities and used within a feedback formulation of the model predictive controller. For state estimation a robust gain-scheduled observer is developed. It is shown that the proposed RMPC ensures robust stability under constraints over the considered operating range.

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