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 in | 2009 European Control Conference (ECC) pp. 2301 - 2306 |
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Main Authors | , , , |
Format | Conference Proceeding Journal Article |
Language | English |
Published |
IEEE
01.08.2009
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Subjects | |
Online Access | Get full text |
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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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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Conference-1 ObjectType-Feature-3 content type line 23 SourceType-Conference Papers & Proceedings-2 |
ISBN: | 9783952417393 3952417394 |
DOI: | 10.23919/ECC.2009.7074748 |