# 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…

## 38 Citations

Aerodynamic Drag Reduction of a Square-Back Car Model Using Linear Genetic Programming and Physic-Based Control

- Engineering
- 2017

The thesis aims to develop effective active flow control strategies for aerodynamic drag reduction of road vehicles.We experimentally examine the effects of fluidic actuation on the wake past a…

Real-time feedback stall control of an airfoil at large Reynolds numbers using linear genetic programming

- EngineeringPhysics of Fluids
- 2022

Machine learning control is applied in real-time to an airfoil equipped with variable-velocity jets and pressure sensors in a closed-loop wind tunnel. The objective of the control is to improve the…

Optimization and sensitivity analysis of active drag reduction of a square-back Ahmed body using machine learning control

- Engineering
- 2020

A machine learning control (MLC) is proposed based on the explorative gradient method (EGM) for the optimization and sensitivity analysis of actuation parameters. This technique is applied to reduce…

Multi-frequency aerodynamic control of a yawed bluff body optimized with a genetic algorithm

- EngineeringJournal of Wind Engineering and Industrial Aerodynamics
- 2021

Upstream actuation for bluff-body wake control driven by a genetically inspired optimization

- EngineeringJournal of Fluid Mechanics
- 2020

The control of bluff-body wakes for reduced drag and enhanced stability has traditionally relied on the so-called direct-wake control approach. By the use of actuators or passive devices, one can…

Active control of vortex-induced vibration of a circular cylinder using machine learning

- EngineeringPhysics of Fluids
- 2019

We demonstrate the use of high-fidelity computational fluid dynamics simulations in machine-learning based active flow control. More specifically, for the first time, we adopt the genetic programming…

Artificiallyintelligent control of drag reduction around a circular cylinder based on wall pressure feedback

- EngineeringActa Physica Sinica
- 2022

Focusing on the typical problem of flow around a circular cylinder, we propose an active flow control method of reducing drag of a circular cylinder, in which a deep reinforcement learning (DRL)…

Machine-learning flow control with few sensor feedback and measurement noise

- EngineeringPhysics of Fluids
- 2022

A comparative assessment of machine-learning (ML) methods for active flow control is performed. The chosen benchmark problem is the drag reduction of a two-dimensional Kármán vortex street past a…

Linear genetic programming control for strongly nonlinear dynamics with frequency crosstalk

- Mathematics
- 2017

We advance Machine Learning Control (MLC), a recently proposed model-free control framework which explores and exploits strongly nonlinear dynamics in an unsupervised manner. The assumed plant has…

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