Control of a homogeneous stirred reactor: Trajectory Piecewise-Linear model for NMPC

As a consequence of increasing computational power and improved algorithms, Model Predictive Control (MPC) nowadays is becoming applicable to high-dynamic processes. If using nonlinear MPC strategies (NMPC), e.g. Sequential Quadratic Programming-solvers (SQP), it is reasonable, if not mandatory to r...

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Published in2009 European Control Conference (ECC) pp. 2301 - 2306
Main Authors Jarmolowitz, Fabian, Abel, Dirk, Wada, Tomoya, Peters, Norbert
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 01.08.2009
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Summary:As a consequence of increasing computational power and improved algorithms, Model Predictive Control (MPC) nowadays is becoming applicable to high-dynamic processes. If using nonlinear MPC strategies (NMPC), e.g. Sequential Quadratic Programming-solvers (SQP), it is reasonable, if not mandatory to reduce the prediction model in order to cope with real-time. In this work the Trajectory Piecewise-Linear approach (TPWL) as a Model Order Reduction (MOR) scheme is investigated in simulation on its applicability on controlling combustion instabilities in an open homogeneous reactor using a SQP strategy. The corresponding nonlinear model exhibits, like the experiment, temperature oscillations during combustion. The temperature oscillations are due to chemical kinetics and typical for homogeneous low-temperature combustion. Since chemical kinetics are highly nonlinear, NMPC is a promising approach to damp these oscillations and to control the system in different operating points.
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ISBN:9783952417393
3952417394
DOI:10.23919/ECC.2009.7074748