Design and process/measurement for immersed element control in a reconfigurable vertically falling soap film
Name
191699628-MIT.pdf
Description
Full printable version
Size
1.82 MB
Format
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Checksum (MD5)
ea33671895066c91d0f51dff4a1229e0
Author(s)
Glowa, John (John M.)
Advisor(s)
Russell L. Tedrake.
Date Issued
2007
Publisher
Massachusetts Institute of Technology
Abstract
Reinforcement learning has proven successful at harnessing the passive dynamics of underactuated systems to achieve least energy solutions. However, coupled fluid-structural models are too computationally intensive for in-the-loop control in viscous flow regimes. My vertically falling soap film will provide a reconfigurable experimental environment for machine learning controllers. The real-time position and velocity data will be collected with a High Speed Video system, illuminated by a Low Pressure Sodium Lamp. Approximating lines of interference within the soap film to known pressure variations, controllers will shape downstream flow to desired conditions. Though accurate measurement still eludes those without Laser Doppler Velocimetry, order of magnitude Reynolds numbers can be estimated to describe the regime of controller inquiry.
Description
Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2007.
Includes bibliographical references (p. 24-25).
Subjects
Mechanical Engineering.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
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