Closed-Loop Turbulence Control: Progress and Challenges

Author:

Brunton Steven L.1,Noack Bernd R.2

Affiliation:

1. Department of Mechanical Engineering and eScience Institute, University of Washington, Seattle, WA 98195

2. Institut PPRIME, CNRS - Université de Poitiers - ENSMA, UPR 3346, Département Fluides, Thermique, Combustion, CEAT, F-86036 Poitiers Cedex, France Institut für Strömungsmechanik, Technische Universität Braunschweig, D-38108 Braunschweig, Germany

Abstract

Closed-loop turbulence control is a critical enabler of aerodynamic drag reduction, lift increase, mixing enhancement, and noise reduction. Current and future applications have epic proportion: cars, trucks, trains, airplanes, wind turbines, medical devices, combustion, chemical reactors, just to name a few. Methods to adaptively adjust open-loop parameters are continually improving toward shorter response times. However, control design for in-time response is challenged by strong nonlinearity, high-dimensionality, and time-delays. Recent advances in the field of model identification and system reduction, coupled with advances in control theory (robust, adaptive, and nonlinear) are driving significant progress in adaptive and in-time closed-loop control of fluid turbulence. In this review, we provide an overview of critical theoretical developments, highlighted by compelling experimental success stories. We also point to challenging open problems and propose potentially disruptive technologies of machine learning and compressive sensing.

Publisher

ASME International

Subject

Mechanical Engineering

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