MIMO Feedback Control of Flow Separation

MIMO Feedback Control of Flow Separation
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流量分离的MIMO反馈控制

DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
L. Cattafesta
L. Cattafesta
中科院分区：
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文献类型：
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作者：
Ye Tian;L. Cattafesta

文献摘要

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将多输入多输出（MIMO）广义预测控制（GPC）算法应用于NACA 0025翼型模型的流动分离控制问题，该模型采用零净质量通量作动器和非定常压力传感器。结果与先前采用自适应反馈干扰抑制算法得到的结果进行了比较。GPC控制方案的目标是抑制翼型模型上表面多个位置的压力波动，从而减少流动分离并增加升阻比。采用递归MIMO系统辨识（ID）算法对流动力学进行建模。MIMO GPC算法能够降低压力/速度波动的宽带功率。此外，当Rec=120,000时，升阻比在12°时增加了约7倍，此时基线流严重停滞。自适应反馈控制器能够保持流量部分附加高达~20°。
A multiple-input/multiple-output (MIMO) generalized predictive control (GPC) algorithm is applied to the flow separation control problem on a NACA 0025 airfoil model using zero-net mass-flux actuators and unsteady pressure sensors. The results are compared with previous results obtained using an adaptive feedback disturbance rejection algorithm. The goal of the GPC control scheme is to suppress the pressure fluctuations at multiple locations on the upper surface of the airfoil model, which results in reduced flow separation as well as increased lift-to-drag ratio. A recursive MIMO system identification (ID) algorithm is used to model the flow dynamics. The MIMO GPC algorithm is able to reduce the broadband power of the pressure/velocity fluctuations. In addition, the lift-to-drag ratio is increased by a factor of ~7 at 12° at Rec=120,000, where the baseline flow is massively stalled. The adaptive feedback controller is able to keep the flow partially attached up to ~20°.