Drag reduction of a car model by linear genetic programming control
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{Li:2017:expfluids,
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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 = "Drag reduction of a car model by linear genetic
programming control",
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journal = "Experiments in Fluids",
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year = "2017",
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volume = "58",
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number = "8",
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pages = "103",
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month = aug,
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keywords = "genetic algorithms, genetic programming",
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ISSN = "1432-1114",
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DOI = "doi:10.1007/s00348-017-2382-2",
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size = "20 pages",
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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 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 strategy
building on genetic programming in Dracopoulos and Kent
(Neural Comput Appl 6:214--228, 1997) and Gautier et
al. (J Fluid Mech 770:424--441, 2015). The optimized
control laws comprise periodic forcing, multi-frequency
forcing and sensor-based feedback including also
time-history information feedback and combinations
thereof. Key enabler is linear genetic programming
(LGP) as powerful regression technique for optimizing
the multiple-input multiple-output control laws. The
proposed LGP 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. In addition, the control identified
automatically the only sensor which listens to
high-frequency flow components with good signal to
noise ratio. Our control strategy is, in principle,
applicable to all multiple actuators and sensors
experiments.",
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notes = "Does not have real page numbers, treat 103 as an
article id?",
- }
Genetic Programming entries for
Ruiying Li
Bernd R Noack
Laurent Cordier
Jacques Boree
Fabien Harambat
Citations