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<p>Visual feedback control of a flow field by a controller that operates plasma actuators with sparse processing particle image velocimetry as an observer was implemented in a wind tunnel test. The control objective was the suppression of a Kàrmàn vortex around a circular cylinder. Sum-of-absolute-values control based on an <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="348_2025_4039_Article_IEq1.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="19" /> </InlineMediaObject> <EquationSource Format="TEX">\(L_1\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>L</mi> <mn>1</mn> </msub> </math></EquationSource> </InlineEquation> optimization problem was implemented to enable real-time processing. Real-time visual feedback control at 2000 Hz was achieved with the proposed system owing to the use of sparse processing particle image velocimetry, which evaluates only a limited number of interrogation windows, and a sophisticated solver for the <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="348_2025_4039_Article_IEq1.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="19" /> </InlineMediaObject> <EquationSource Format="TEX">\(L_1\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>L</mi> <mn>1</mn> </msub> </math></EquationSource> </InlineEquation> optimization problem. The techniques adopted in the present study can accelerate the feedback control rate by a factor of 10 to 100. It was confirmed that the proposed system suppresses the Kàrmàn vortex to a certain extent. The results show that the control law using forecasts further ahead performs better.</p>

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Real-time feedback control of flow velocity field using sparse processing particle image velocimetry and plasma actuators

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年6月16日

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  • Taku Nonomura,
  • Chihaya Abe,
  • Ryo Naramura,
  • Yasuo Sasaki

摘要

Visual feedback control of a flow field by a controller that operates plasma actuators with sparse processing particle image velocimetry as an observer was implemented in a wind tunnel test. The control objective was the suppression of a Kàrmàn vortex around a circular cylinder. Sum-of-absolute-values control based on an \(L_1\) L 1 optimization problem was implemented to enable real-time processing. Real-time visual feedback control at 2000 Hz was achieved with the proposed system owing to the use of sparse processing particle image velocimetry, which evaluates only a limited number of interrogation windows, and a sophisticated solver for the \(L_1\) L 1 optimization problem. The techniques adopted in the present study can accelerate the feedback control rate by a factor of 10 to 100. It was confirmed that the proposed system suppresses the Kàrmàn vortex to a certain extent. The results show that the control law using forecasts further ahead performs better.