Reduced-order controllers for fluid mechanics applications
Controller complexity is a crucial parameter for control in engineering applications. Controllers with a large number of states are of no practical interest because of the amount of hardware and computer power necessary to compute a real-time control law. Consequently, it is crucial to reduce the order of the controller. This summary provides a background on some techniques useful for deriving reduced-order controllers for fluid mechanics applications, setting the stage for the specific topics described later in this text.
KeywordsDrag Reduction Bottom Wall Point Vortex Vortex Sheet Bottom Boundary Layer
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- Gadelhak, M. 1999 Interactive control of turbulent boundary layers — A futuristic overview, Aim Journal, 32, (9), 1753.Google Scholar
- Kang, S. M., Ryder, V., Cortelezzi, L. and Speyer, J. L. 1999 State-space formulation and control design for three-dimensional channel flows, American Control Conference, San Diego, California, 2–4 June 1999.Google Scholar
- Kang, S. M., Cortelezzi, L. and Speyer, J. L. 1999 Performance of a linear controller for laminar boundary layer transition in three-dimensional channel flow, Proceedings of the 38th Conference on Decision and Control, Phoenix, Arizona, 7–10 December, 1999.Google Scholar
- Lofdahl, L. and Gadelhak, M. 1999 Mems applications in turbulence and flow control, Prog. in Aerospace Sciences,35, (2), 101.Google Scholar
- M’ Closkey, R. T., King, J., Cortelezzi, L. and Karagozian, A. R. 2002 Active control of jets in crossflow In Manipulation and Control of Transverse Jets, Springer-Verlag.Google Scholar
- Raveh, D. E. 2001 Reduced-order models for unsteady aerodynamics, AL4A Journal 39, (8), 1417–1429.Google Scholar
- Zhou, K., Doyle, J. C. and Glover K. 1996 Robust and optimal control Prentice Hall.Google Scholar