Machine learning control for drag reduction of a car model in experiment
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Li:2017:IFAC,
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author = "Ruiying Li and Bernd R. Noack and Laurent Cordier and
Jacques Boree and Fabien Harambat",
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title = "Machine learning control for drag reduction of a car
model in experiment",
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booktitle = "20th IFAC World Congress",
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year = "2017",
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editor = "Dimitri Peaucelle",
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pages = "Paper ThP23.1",
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address = "Toulouse, France",
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month = jul # " 9-14",
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organisation = "International Federation of Automatic Control",
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keywords = "genetic algorithms, genetic programming, evolutionary
algorithms, real-time control, machine learning
control, drag reduction, car, physics, PHYS, MECA,
MEFL, mechanics of the fluids",
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identifier = "hal-01856274",
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language = "en",
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oai = "oai:HAL:hal-01856274v1",
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type = "info:eu-repo/semantics/conferenceObject",
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URL = "https://hal.archives-ouvertes.fr/hal-01856274",
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URL = "http://www.ifac2017.org/sites/www.ifac2017.org/files/u88/IFAC17_ContentListWeb_4.html",
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abstract = "We investigate experimentally a novel model-free
in-time control strategy, called Machine Learning
Control (MLC), for aerodynamic drag reduction of a car
model. Fluidic actuation is applied at the trailing
edge of a blunt-edged Ahmed body combined with a curved
deflection surface. The impact of actuation on the flow
is monitored with base pressure sensors.Based on the
idea of genetic programming, the applied model-free
control strategy detects and exploits nonlinear
actuation mechanisms in an unsupervised manner with the
aim of minimising the drag. Key enabler is linear
genetic programming as simple and efficient framework
for multiple inputs (actuators) and multiple outputs
(sensors). The optimised control laws comprise periodic
forcing, multi-frequency forcing and sensor-based
feedback control. Approximately 33 percent base
pressure recovery associated with 22 percent drag
reduction is achieved by the optimal control law for a
turbulent flow at Reynolds number 300000 based on body
height.",
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notes = "Author sometimes given as Ruying
Li
http://www.ifac2017.org/
oai:HAL:hal-01856274v1,
Contributor : Limsi Publications
",
- }
Genetic Programming entries for
Ruiying Li
Bernd R Noack
Laurent Cordier
Jacques Boree
Fabien Harambat
Citations