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001     860513
005     20250129092356.0
024 7 _ |a 10.1109/CCTA.2018.8511585
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024 7 _ |a 2128/24335
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037 _ _ |a FZJ-2019-01249
100 1 _ |a Seidler, F.
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111 2 _ |a 2018 IEEE Conference on Control Technology and Applications (CCTA)
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|d 2018-08-21 - 2018-08-24
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245 _ _ |a Iterative Learning Control and Decoupling of Lorentz Force Based Actuator Systems for Turbulence Research
260 _ _ |c 2018
336 7 _ |a Conference Paper
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500 _ _ |a Presented as session talk at CCTA and automatically submitted to IEEE Xplore.
520 _ _ |a This work discusses classic feedback control (PD) and Iterative Learning Control (ILC) applied to a Lorentz force based actuator system for turbulence research. The goal is precise and reliable generation of transversal waves on an aluminum surface in wind tunnel experiments. For research on unsteady inflow conditions wave parameters have to be adjustable quickly within given ranges (50 to 135 Hz frequency, 260 to 500 μm amplitude, 80 to 160 mm wavelength). We present results of simultaneous control of individual actuators as well as decoupling steering. Using Finite Element simulations the observed unwanted tilting oscillations could be explained.
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700 1 _ |a Schiek, Michael
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700 1 _ |a Silex, W.
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700 1 _ |a Heil, R.
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700 1 _ |a van Waasen, S.
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700 1 _ |a Abel, D.
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773 _ _ |a 10.1109/CCTA.2018.8511585
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