The main idea of flow control is the improvement of aerodynamic characteristics of flow, such as, reducing drag and unsteadiness of loads compelled by the flow field onto structures exposed to the flow. The ultimate aim of this research is to build a flow control system with the help of artificial neural networks (ANN) in order to be able to control the vortex shedding behind a two dimensional (2D) cylinder. In this study, flow over a 2D circular cylinder at laminar Reynolds numbers is analyzed by Computational Fluid Dynamics (CFD), where obtained results are compared with the experimental values stated in literature, and flow structures are separated according to their frequency content by application of the Proper Orthogonal Decomposition (POD) method to the resulting data.

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