Drag reduction of a car model by linear genetic programming control

@article{Li2017DragRO,
  title={Drag reduction of a car model by linear genetic programming control},
  author={Ruiying Li and B. R. Noack and Laurent Cordier and Jacques Bor{\'e}e and Fabien Harambat},
  journal={Experiments in Fluids},
  year={2017},
  volume={58},
  pages={1-20}
}
We investigate open- and closed-loop active control for aerodynamic drag reduction of a car model. Turbulent flow around a blunt-edged Ahmed body is examined at $$Re_{H}\approx 3\times 10^{5}$$ReH≈3×105 based on body height. The actuation is performed with pulsed jets at all trailing edges (multiple inputs) combined with a Coanda deflection surface. The flow is monitored with 16 pressure sensors distributed at the rear side (multiple outputs). We apply a recently developed model-free control… 
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References

SHOWING 1-10 OF 67 REFERENCES
Feedback control for form-drag reduction on a bluff body with a blunt trailing edge
Abstract The objective of this numerical study is to increase the base pressure on a backward-facing step via linear feedback control, to be ultimately translated to a drag reduction on a blunt-based
Closed-loop separation control over a sharp edge ramp using genetic programming
Abstract We experimentally perform open and closed-loop control of a separating turbulent boundary layer downstream from a sharp edge ramp. The turbulent boundary layer just above the separation
Feedback control for form-drag reduction on a blu body with a blunt trailing edge
The objective of the present numerical study is to increase the base pressure on a backward-facing step via a simple feedback control method; to be ultimately translated to a drag reduction on a
Closed-loop separation control using machine learning
TLDR
The current study indicates that machine learning control can effectively explore and optimize new feedback actuation mechanisms in numerous experimental applications.
Drag reduction of a bluff body using adaptive control methods
A classical actuator is used to control the drag exerted on a bluff body at large Reynolds number (Re=20000). The geometry is similar to a backward-facing step whose separation point is modified
Robust Multivariable Closed-Loop Control of a Turbulent Backward-Facing Step Flow
Active control of separated flows has become an attractive approach enabling the designer to meet increased performance demands for various systems. Whereas a significant part of the work published
Multivariable closed-loop flow control of drag and yaw moment for a 3D bluff body
A multivariable closed-loop active flow control strategy to reduce the drag coefficient and yaw moment of a 3-dimensional bluff body is presented and applied in wind tunnel experiments. The relevant
Model-based Control of Vortex Shedding Using Low-dimensional Galerkin Models
TLDR
A model-based flow control strategy is proposed for the suppression of vortex shedding behind a circular cylinder based on a hierarchy of low-dimensional Galerkin models of the cylinder wake which respects the regime of model validity.
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