2008 | OriginalPaper | Buchkapitel
Dynamic Surface Pressure Based Estimation for Flow Control
verfasst von : Lawrence Ukeiley, Nathan Murray, Qi Song, Louis Cattafesta
Erschienen in: IUTAM Symposium on Flow Control and MEMS
Verlag: Springer Netherlands
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
The need for adaptive control methodologies which involve realistically obtainable information is driving the direction of active flow control research. In this work, time resolved estimates of the velocity field using a mean-square estimation procedure with the unsteady surface pressure as the condition are presented which highlight the relationships between these quantities. Understanding the causal relationships between the velocity field and the surface pressure, an adaptive control strategy solely based on surface pressure can be developed. To this end dynamic stochastic estimation and system identification approaches are shown to accurately predict future surface pressures based on their time histories which can then be used to form the basis of a closed loop control strategy.