Abstract In this paper we investigate the optimal control approach for the active control and drag optimization of incompressible viscous flow past circular cylinders. The control function is the time angular velocity of the rotating cylinder. The wake flow is solved in the laminar regime (Re = 200) with a finite element method. Due to the CPU and memory costs related to the optimal control theory, a Proper Orthogonal Decomposition (POD) Reduced Order Model (ROM) is used as the state equation. The key enablers to an accurate and robust POD ROM are the introduction of a time dependent eddy-viscosity estimated for each POD mode as the solution of an auxiliary optimization problem and the use of a snapshot ensemble for POD based on chirp-forced transients. Since the POD basis represents only velocities, we minimize a drag-related cost functional characteristic of the wake unsteadiness. The optimization problem is solved using Lagrange multipliers to enforce the constraints. 25% of relative drag reduction is found when the Navier-Stokes equations are controlled using an harmonic control function deduced from the optimal solution determined with the POD ROM. Earlier numerical studies concerning mean drag reduction are confirmed: it is shown in particular that without a sufficient penalization of the control input, our approach is energetically inefficient. The main result is that a cost reduction factor of one hundred and 760 is obtained for the CPU time and the memory respectively. Finally, limits of the performance of our approach are discussed.
[1]
I. Kevrekidis,et al.
Low‐dimensional models for complex geometry flows: Application to grooved channels and circular cylinders
,
1991
.
[2]
George Em Karniadakis,et al.
A Spectral Vanishing Viscosity Method for Large-Eddy Simulations
,
2000
.
[3]
M. Braza,et al.
Numerical study and physical analysis of the pressure and velocity fields in the near wake of a circular cylinder
,
1986,
Journal of Fluid Mechanics.
[4]
Roger Temam,et al.
DNS-based predictive control of turbulence: an optimal benchmark for feedback algorithms
,
2001,
Journal of Fluid Mechanics.
[5]
Thomas Bewley,et al.
Optimal and robust control and estimation of linear paths to transition
,
1998,
Journal of Fluid Mechanics.
[6]
Ronald D. Joslin,et al.
Issues in active flow control: theory, control, simulation, and experiment
,
2004
.
[7]
G. Karniadakis,et al.
A spectral viscosity method for correcting the long-term behavior of POD models
,
2004
.
[8]
Bernd R. Noack,et al.
The need for a pressure-term representation in empirical Galerkin models of incompressible shear flows
,
2005,
Journal of Fluid Mechanics.
[9]
J. Peraire,et al.
OPTIMAL CONTROL OF VORTEX SHEDDING USING LOW-ORDER MODELS. PART II-MODEL-BASED CONTROL
,
1999
.