Drag reduction of a car model by linear genetic programming control
Created by W.Langdon from
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- @Misc{oai:arXiv.org:1609.02505,
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author = "Ruiying Li and Bernd R. Noack and Laurent Cordier and
Jacques Boree and Fabien Harambat and Eurika Kaiser and
Thomas Duriez",
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title = "Drag reduction of a car model by linear genetic
programming control",
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note = "Comment: 39 pages, 23 figures",
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year = "2016",
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month = sep # "~08",
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keywords = "genetic algorithms, genetic programming, physics -
fluid dynamics",
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bibsource = "OAI-PMH server at export.arxiv.org",
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oai = "oai:arXiv.org:1609.02505",
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URL = "http://arxiv.org/abs/1609.02505",
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abstract = "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 $Re_{H}\approx3\times10^{5}$ based on body
height. The actuation is performed with pulsed jets at
all trailing edges combined with a Coanda deflection
surface. The flow is monitored with pressure sensors
distributed at the rear side. We apply a model-free
control strategy building on Dracopoulos \& Kent
(Neural Comput. \& Applic., vol. 6, 1997, pp. 214-228)
and Gautier et al. (J. Fluid Mech., vol. 770, 2015, pp.
442-457). The optimised control laws comprise periodic
forcing, multi-frequency forcing and sensor-based
feedback including also time-history information
feedback and combination thereof. Key enabler is linear
genetic programming as simple and efficient framework
for multiple inputs (actuators) and multiple outputs
(sensors). The proposed linear genetic programming
control can select the best open- or closed-loop
control in an unsupervised manner. Approximately
33percent base pressure recovery associated with
22percent drag reduction is achieved in all considered
classes of control laws. Intriguingly, the feedback
actuation emulates periodic high-frequency forcing by
selecting one pressure sensor in the optimal control
law. Our control strategy is, in principle, applicable
to all multiple actuators and sensors experiments.",
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notes = "see \cite{Li:2017:expfluids}",
- }
Genetic Programming entries for
Ruiying Li
Bernd R Noack
Laurent Cordier
Jacques Boree
Fabien Harambat
Eurika Kaiser
Thomas Duriez
Citations