Download Active Flow Control II: Papers Contributed to the Conference by George T. K. Woo, Ari Glezer (auth.), Rudibert King (eds.) PDF

By George T. K. Woo, Ari Glezer (auth.), Rudibert King (eds.)

This quantity offers an up to date and good balanced mix of theoretical and experimental cutting-edge result of energetic circulation regulate. It combines new advancements optimum open- and closed-loop regulate and version relief for keep watch over. Numerical and experimental functions are thought of from aeronautics, ground-based autos, turbo-machinery and combustors. The contributions to this booklet have been provided on the convention lively circulate keep an eye on II, held may possibly 26-28, 2010, on the Technische Universität Berlin, Germany.

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Read or Download Active Flow Control II: Papers Contributed to the Conference ”Active Flow Control II 2010”, Berlin, Germany, May 26 to 28, 2010 PDF

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Additional info for Active Flow Control II: Papers Contributed to the Conference ”Active Flow Control II 2010”, Berlin, Germany, May 26 to 28, 2010

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12]. The model was constructed from Duraform™ nylon with a selective laser sintering rapid prototyping system. The 3D rapid prototyping system allowed the micro-valve actuators to be embedded inside the model, close to the leading edge. 406m. 069. The model chord Reynolds numbers ranged from Rec = 47,000 to 109,000. The experiments were conducted in the Andrew Fejer Unsteady Flow wind tunnel. The wind tunnel is a closed-return type powered by a 40 HP motor with vector drive controller. The maximum speed of the wind tunnel is 30 m/s, but ranged between 3 m/s and 9 m/s for the data presented here.

4N. Figure 9 shows the phase-averaged lift response over 50 cycles of the controlled case along with the uncontrolled lift. Oscillations in lift occur when the flow speed transient occurs, but these oscillations are damped over time. 05N. 28 D. Williams et al. Fig. 9 Step response of lift at U = 7 m/s with and without control (left). Phase averaged velocity 1/ 2 signal (top right) and control input signal, C pj , (bottom right). 25m/s. Again the controller attempts to maintain a constant lift. Figure 10 shows the power spectral density of the controlled and uncontrolled fluctuating lift.

The objective of the work described in this paper is to use the techniques of modern system identification and control theory to increase the bandwidth of the controller. In particular, the approach developed by Henning, et al. [11] provides a template for designing a modern controller capable of suppressing lift oscillations in the unsteady flow problem. Experiments were conducted at Illinois Institute of Technology and the controllers were designed at Technische Universität Berlin. The methodology and results of the joint effort are described below.

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