简介:Controlling the flow over aerodynamic bodies has been a challenging problem for
many years. Different open loop control techniques have been used in several flow
configurations with some degree of success. However, in 简介:Controlling the flow over aerodynamic bodies has been a challenging problem for
many years. Different open loop control techniques have been used in several flow
configurations with some degree of success. However, in most cases the effectiveness of
the controller is limited to the design conditions. In the present work, Proper Orthogonal
Decomposition (POD) is used to derive low dimensional models of the subsonic flow
over a cavity, in an effort to develop a feedback control system that can control the
characteristic of the flow field. The Galerkin method is used as an additional tool to
capture the time evolution of the flow field, reducing the problem into a system of
ordinary differential. The stochastic estimation method is then used to link the variables
that can be physically measured with those involved in the model. Particle Image
Velocimetry (PIV) data and surface pressure measurement for the unforced flow
(baseline) and for several open loop forcing conditions are used to derive the models.详细>