Data-driven modeling, analysis, and control of flow separation over an airfoil

Loading...
Thumbnail Image

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Data-driven modeling, analysis, and control of flow separation over an airfoil

Published Date

2018-08

Publisher

Type

Thesis or Dissertation

Abstract

Flow separation leads to degraded performance in many engineering systems. Several flow control strategies have been developed to mitigate flow separation and improve aerodynamic performance. Most studies have focused on optimizing the control action for a given actuator configuration, whereas, actuator placement is intimately tied to achievable performance. In this thesis, a systematic approach for determining the optimal actuator location for separation control from numerical and experimental fluids data for both stable and unstable systems is presented. Pulse response data from high-fidelity numerical simulations are used to determine optimality of candidate locations. Spatial structures obtained from velocity field data from the same simulations reveal the nature of flow due to pulse actuation and corroborate findings of the optimality study. Robust closed-loop controllers are then designed on system models obtained from pulse response data, to track the separation angle.

Keywords

Description

University of Minnesota M.S.E.E. thesis. August 2018. Major: Electrical/Computer Engineering. Advisor: Maziar Hemati. 1 computer file (PDF); vii, 60 pages.

Related to

Replaces

License

Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Suggested citation

Bhattacharjee, Debraj. (2018). Data-driven modeling, analysis, and control of flow separation over an airfoil. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/201020.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.