空化流动负反馈控制降阶模型的建立
Controlling the flow over aerodynamic bodies has been a challenging problem formany years. Different open loop control techniques have been used in several flowconfigurations with some degree of success. However, in most cases the effectiveness ofthe controller is limited to the design conditions. In the present work, Proper OrthogonalDecomposition (POD) is used to derive low dimensional models of the subsonic flowover a cavity, in an effort to develop a feedback control system that can control thecharacteristic of the flow field. The Galerkin method is used as an additional tool tocapture the time evolution of the flow field, reducing the problem into a system ofordinary differential. The stochastic estimation method is then used to link the variablesthat can be physically measured with those involved in the model. Particle ImageVelocimetry (PIV) data and surface pressure measurement for the unforced flow(baseline) and for several open loop forcing conditions are used to derive the models.