Optimal feedback control of the incompressible Navier-Stokes-Equations using reduced order models
A novel scheme for an optimal feedback-control of distributed parameter systems is proposed. Therefore, the optimal control problem for the two-dimensional incompressible Navier-Stokes-Equations with an actuation via boundary-conditions is set up. Afterwards the Navier-Stokes-Equations and their adj...
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Published in | 2015 54th IEEE Conference on Decision and Control (CDC) pp. 2519 - 2524 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.12.2015
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Subjects | |
Online Access | Get full text |
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Summary: | A novel scheme for an optimal feedback-control of distributed parameter systems is proposed. Therefore, the optimal control problem for the two-dimensional incompressible Navier-Stokes-Equations with an actuation via boundary-conditions is set up. Afterwards the Navier-Stokes-Equations and their adjoint equations are solved numerically. A model reduction is performed for both solutions using the POD-Galerkin procedure. The optimal feedback control is computed online from the reduced order models in each time step without need of further optimization. Results are shown for closed-loop simulations with the Navier-Stokes-Equations. |
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DOI: | 10.1109/CDC.2015.7402595 |