方案详情文
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.
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北京欧兰科技发展有限公司为您提供《空气中空化流动负反馈控制降阶模型的建立检测方案(粒子图像测速)》，该方案主要用于航空中空化流动负反馈控制降阶模型的建立检测，参考标准《暂无》，《空气中空化流动负反馈控制降阶模型的建立检测方案(粒子图像测速)》用到的仪器有德国LaVision PIV/PLIF粒子成像测速场仪、Imager sCMOS PIV相机、PLIF平面激光诱导荧光火焰燃烧检测系统。
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