An Autonomous Sensor System Architecture for Active Flow and Noise Control Feedback
Author(s) -
William M. Humphreys,
William Culliton
Publication year - 2008
Publication title -
nasa sti repository (national aeronautics and space administration)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2008-3935
Subject(s) - computer science , sensor fusion , aerodynamics , noise (video) , tracking (education) , situation awareness , flow (mathematics) , signal (programming language) , channel (broadcasting) , real time computing , control engineering , engineering , artificial intelligence , telecommunications , aerospace engineering , image (mathematics) , psychology , pedagogy , geometry , mathematics , programming language
†Multi-channel sensor fusion represents a powerful technique to simply and efficiently extract information from complex phenomena. While the technique has traditionally been used for military target tracking and situational awareness, a study has been successfully completed that demonstrates that sensor fusion can be applied equally well to aerodynamic applications. A prototype autonomous hardware processor was successfully designed and used to detect in real-time the two-dimensional flow reattachment location generated by a simple separated-flow wind tunnel model. The success of this demonstration illustrates the feasibility of using autonomous sensor processing architectures to enhance flow control feedback signal generation.
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