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Self-Contained Automated Methodology for Optimal Flow Control

机译:自包含的自动化方法,可实现最佳流量控制

摘要

This paper describes a self-contained, automated methodology for active flow control which couples the time-dependent Navier-Stokes system with an adjoint Navier-Stokes system and optimality conditions from which optimal states, i.e., unsteady flow fields and controls (e.g., actuators), may be determined. The problem of boundary layer instability suppression through wave cancellation is used as the initial validation case to test the methodology. Here, the objective of control is to match the stress vector along a portion of the boundary to a given vector; instability suppression is achieved by choosing the given vector to be that of a steady base flow. Control is effected through the injection or suction of fluid through a single orifice on the boundary. The results demonstrate that instability suppression can be achieved without any a priori knowledge of the disturbance, which is significant because other control techniques have required some knowledge of the flow unsteadiness such as frequencies, instability type, etc. The present methodology has been extended to three dimensions and may potentially be applied to separation control, re-laminarization, and turbulence control applications using one to many sensors and actuators.
机译:本文介绍了一种独立的,自动的主动流控制方法,该方法将时间相关的Navier-Stokes系统与伴随的Navier-Stokes系统以及最优状态相结合,从中可以得出最佳状态,即非恒定流场和控件(例如执行器) ),可以确定。通过消除波来抑制边界层不稳定性的问题被用作验证方法的初始验证案例。在此,控制的目的是使沿边界的一部分的应力向量与给定向量匹配。通过选择给定的矢量作为稳定基流的矢量,可以实现对不稳定性的抑制。通过通过边界上的单个孔口注入或抽吸流体来实现控制。结果表明,无需任何先验知识就可以实现不稳定性抑制,这很重要,因为其他控制技术需要一些关于流量不稳定的知识,例如频率,不稳定类型等。本方法已扩展到三种尺寸,并有可能应用于使用一对多传感器和执行器的分离控制,再分层和湍流控制应用中。

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