Reduced Order Modelling for Flow Control
Invited Lecturers
- Laurent Cordier (CNRS UMR 6609, Poitiers Cedex, France)
- 5 Lectures on: The lectures address optimal flow control including mathematical concepts, computational tools, and critical enablers. We highlight POD models as one such enabler for a tractable computational cost as compared to a high-dimensional Navier-Stokes discretization.
- Rudibert King (Measurement and Control Group, Berlin, Germany)
- 5 Lectures on: A short introduction of black-box modelling is given, including a powerful adaptive technique which can easily be integrated in simulations and experiments. This approach is illustrated for various flow control configurations, e.g. a backward-facing step, a high-lift configuration and a bluff body.
- Marek Morzynski (Poznan Univ. of Technology, Poznan, Poland)
- 5 Lectures on: Global stability analysis of the Navier-Stokes equation is discussed with emphasis on computational aspects. This a priori approach is illustrated as critical enabler for reduced order modelling and control design of wake flows.
- Bernd R. Noack (D. Fluides, Therm., & Combustion, Poitiers, France)
- 5 Lectures on: A systematic path to robust low-dimensional models for control design is outlined, employing POD, stability eigenmodes and other bases. Examples are provided for shear flows exhibiting simple oscillatory behavior, like the cylinder wake, to complex broad-band dynamics.
- Stefan Siegel (United States Air Force Academ, USAFA, Colorado Springs CO, USA)
- 5 Lectures on: These lectures cover feedback flow control of a circular cylinder wake employing low-dimensional models. Focus is placed on modelling and practical issues for integration in experiment and simulations.
- Gilead Tadmor (Northeastern University, Boston, Mass. , USA)
- 5 Lectures on: The use of reduced order Galerkin and vortex models in feedback flow control will be reviewed. The talk addresses the interplay between tunable models, actuation models, dynamic observers, and control design.