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@PHDTHESIS{Dck:826754,
author = {Dück, Marcel},
title = {{M}odellbasierte {A}nsteuerung räumlich ausgedehnter
{A}ktuator- und {S}ensornetzwerke in der
{S}trömungsregelung},
volume = {349},
school = {RWTH Aachen},
type = {Dr.},
address = {Jülich},
publisher = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
reportid = {FZJ-2017-00972},
isbn = {978-3-95806-193-4},
series = {Schriften des Forschungszentrums Jülich Reihe Energie $\&$
Umwelt / Energy $\&$ Environment},
pages = {XIII, 153 S.},
year = {2016},
note = {RWTH Aachen, Diss., 2016},
abstract = {The topic of this thesis deals with the model-based
development of a realtime, spatially enlarged actuator and
sensor network for use in flow control. Within a cascaded
control loop, the external flow control is connected via the
network with defined interfaces as model-in-the-loop to the
electromagnetic actuator system for influencing the flow.
The flow is influenced by means of transversal surface waves
on a three millimeter thick aluminum plate. This approach
allows both experiments in the wind tunnel as well as the
analysis of differences in network configurations, which
lead to the determination of a favorable topology and
computation distribution. This forms the basis for the
specification of network configurations for the technical
implementation of a spatially enlarged actuator and sensor
network. The necessary tasks are mapped to the corresponding
network nodes using a model. The communication layers are
defined according to the OSI reference model. A real-time
protocol is integrated on the transport layer and verified
by a simulation. Various network simulations are
investigated with regard to different boundary conditions
and configurations and the results are discussed. A method
for real-time calculation and application of smooth signal
transitions between differently parameterized sinusoidal
signals for driving the electromagnetic actuator system is
presented. Using the wave control, the system is stabilized
and the accuracy of the wave motion is ensured. For this
purpose, an adapted model-based iterative learning control
with gain switching is developed.},
cin = {ZEA-2},
cid = {I:(DE-Juel1)ZEA-2-20090406},
pnm = {541 - Light-weight Structural Materials (POF3-541)},
pid = {G:(DE-HGF)POF3-541},
typ = {PUB:(DE-HGF)3 / PUB:(DE-HGF)11},
urn = {urn:nbn:de:0001-2017032808},
url = {https://juser.fz-juelich.de/record/826754},
}