Phase-based control of periodic fluid flows

Abstract

Fluid flows play a central role in scientific and technological development, and many of these flows are characterized by a dominant oscillation, such as the vortex shedding in the wake of nearly all transportation vehicles. The ability to control vortex shedding is critical to improve the aerodynamic performance of these unsteady fluid flow systems. This goal requires precise characterization of how perturbations affect the long-time phase of the oscillatory flow, as well as the ability to control transient behaviors. In this work, we develop an energy-efficient flow control strategy to rapidly alter the oscillation phase of time-periodic fluid flows, leveraging theory developed for periodic biological systems. First, we perform a phase-sensitivity analysis to construct a reduced-order model for the response of the flow oscillation to impulsive control inputs at various phases. Next, we introduce two control strategies for real-time phase control based on the phase-sensitivity function: 1) optimal phase control, obtained by solving the Euler-Lagrange equations as a two-point boundary value problem, and 2) model-predictive control (MPC). Our approach is demonstrated for two unsteady flow systems, the incompressible laminar flow past a circular cylinder and the flow past an airfoil. We show that effective phase control may be achieved with several actuation strategies, including blowing and rotary control. Moreover, our control approach uses realistic measurements of the lift force on the body, rather than requiring high-dimensional measurements of the full flow field.

arXiv comment23 pages, 11 figures

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• A cyclic perspective on transient gust encounters through the lens of persistent homology
• Phase-synchronization properties of laminar cylinder wake for periodic external forcings
• Optimal waveform for fast synchronization of airfoil wakes
• Adjoint-based phase reduction analysis of incompressible periodic flows
• Phase autoencoder for rapid data-driven synchronization of rhythmic spatiotemporal patterns
• Phase-based analysis and control of low Reynolds number aeroelastic flows
• Discrete vortex-based broadcast mode analysis for mitigation of dynamic stall