Jan Rottmayer, TU Kaiserslautern

Title:
Flow Control via Reduced Order Models

Abstract:

The optimization of systems governed by nonlinear partial differential equations requires solving large-scale systems of equations at each iteration throughout the design process. The reduction of model dimension and complexity is essential for the application to optimal control and design problems. This talk aims to introduce methods to construct a suitable reduced order model for an unsteady flow problem, and to apply it for optimal control. We use a POD-Galerkin model in the isentropic regime to determine the optimal control actuation for the fluid flow around a circular cylinder to mitigate vortex shedding. Our results show the successful reduction of unsteadiness in the downstream of the cylinder, and validation with a high-fidelity simulation confirms the results.

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