Poster (Standard)

FZJ-2019-01249

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Iterative Learning Control and Decoupling of Lorentz Force Based Actuator Systems for Turbulence Research

Seidler, F. (Corresponding author)FZJ* ; Schiek, M.FZJ* ; Silex, W.FZJ* ; Heil, R.FZJ* ; van Waasen, S.FZJ* ; Abel, D.RWTH*

2018

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Please use a persistent id in citations: http://hdl.handle.net/2128/24335  doi:10.1109/CCTA.2018.8511585

Abstract: 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.

Note: Presented as session talk at CCTA and automatically submitted to IEEE Xplore.

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Contributing Institute(s):

1. Zentralinstitut für Elektronik (ZEA-2)

Research Program(s):

1. 113 - Methods and Concepts for Material Development (POF3-113) (POF3-113)
2. FOR 1779 - Aktive Widerstandsreduktion durch wellenförmige Oberflächenoszillation (202175528) (202175528)

Appears in the scientific report 2020

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Database coverage:

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