Drag reduction in channel flow using nonlinear control

Two nonlinear control schemes have been applied to the problem of drag reduction in channel flow. Both schemes have been tested using numerical simulations at a mass flux Reynolds numbers of 4408, utilizing 2D nonlinear neutral modes for goal dynamics. The OGY-method, which requires feedback, reduces drag to 60-80 percent of the turbulent value at the same Reynolds number, and employs forcing only within a thin region near the wall. The H-method, or model-based control, fails to achieve any drag reduction when starting from a fully turbulent initial condition, but shows potential for suppressing or retarding laminar-to-turbulent transition by imposing instead a transition to a low drag, nonlinear traveling wave solution to the Navier-Stokes equation. The drag in this state corresponds to that achieved by the OGY-method. Model-based control requires no feedback, but in experiments to date has required the forcing be imposed within a thicker layer than the OGY-method. Control energy expenditures in both methods are small, representing less than 0.1 percent of the uncontrolled flow's energy.

[1]  Alan R. Kerstein,et al.  Mixing of strongly diffusive passive scalars like temperature by turbulence , 1988, Journal of Fluid Mechanics.

[2]  H. Liepmann,et al.  Active control of laminar-turbulent transition , 1982, Journal of Fluid Mechanics.

[3]  Hübler,et al.  Nonlinear resonances and suppression of chaos in the rf-biased Josephson junction. , 1990, Physical review letters.

[4]  Parviz Moin,et al.  The dimension of attractors underlying periodic turbulent Poiseuille flow , 1992, Journal of Fluid Mechanics.

[5]  P. Saffman,et al.  Two-dimensional superharmonic stability of finite-amplitude waves in plane Poiseuille flow , 1988, Journal of Fluid Mechanics.

[6]  J. Jiménez Bifurcations and bursting in two-dimensional Poiseuille flow , 1987 .

[7]  Roy,et al.  Dynamical control of a chaotic laser: Experimental stabilization of a globally coupled system. , 1992, Physical review letters.

[8]  Ditto,et al.  Experimental control of chaos. , 1990, Physical review letters.

[9]  G. Sandmann,et al.  Interconversion of Prenyl Pyrophosphates and Subsequent Reactions in the Presence of FMC 57020 , 1987 .

[10]  Model-based control of the Burgers equation. , 1991, Physical review. A, Atomic, molecular, and optical physics.

[11]  A. Hübler,et al.  Algorithm for the Determination of the Resonances of Anharmonic Damped Oscillators , 1987 .

[12]  P. Moin,et al.  Turbulence statistics in fully developed channel flow at low Reynolds number , 1987, Journal of Fluid Mechanics.

[13]  B. Huberman,et al.  Dynamics of adaptive systems , 1990 .

[14]  L. Keefe,et al.  Two nonlinear control schemes contrasted on a hydrodynamiclike model , 1993 .

[15]  Singer,et al.  Controlling a chaotic system. , 1991, Physical review letters.

[16]  Thorwald Herbert,et al.  Periodic secondary motions in a plane channel , 1979 .

[17]  E. Hunt Stabilizing high-period orbits in a chaotic system: The diode resonator. , 1991 .

[18]  Werner Koch,et al.  Nonlinear bifurcation study of plane Poiseuille flow , 1989 .

[19]  Uwe Ehrenstein,et al.  Three-dimensional wavelike equilibrium states in plane Poiseuille flow , 1991, Journal of Fluid Mechanics.

[20]  T. B. Fowler,et al.  Application of stochastic control techniques to chaotic nonlinear systems , 1989 .

[21]  Azevedo,et al.  Controlling chaos in spin-wave instabilities. , 1991, Physical review letters.

[22]  Ying-Cheng Lai,et al.  Controlling chaos , 1994 .