Abstract
AbstractOutput-based controllers are known to be fragile with respect to model uncertainties. The standard$$\mathcal {H}_{\infty }$$H∞-control theory provides a general approach to robust controller design based on the solution of the$$\mathcal {H}_{\infty }$$H∞-Riccati equations. In view of stabilizing incompressible flows in simulations, two major challenges have to be addressed: the high-dimensional nature of the spatially discretized model and the differential-algebraic structure that comes with the incompressibility constraint. This work demonstrates the synthesis of low-dimensional robust controllers with guaranteed robustness margins for the stabilization of incompressible flow problems. The performance and the robustness of the reduced-order controller with respect to linearization and model reduction errors are investigated and illustrated in numerical examples.
Funder
Max Planck Institute for Dynamics of Complex Technical Systems (MPI Magdeburg)
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics,Control and Optimization
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