Optimal actuator and sensor placement for feedback flow control
TITLE:
Optimal actuator and sensor placement for feedback flow control
DATE:
Friday, September 23rd, 2016
TIME:
3:30 PM
LOCATION:
GMCS 314
SPEAKER:
Dr. Kevin K. Chen. Research staff member at the Institute for Defense Analyses’ Center for Communications Research in La Jolla.
ABSTRACT:
Feedback control has an enormous potential to manipulate fluid flows in desirable ways, and may one day increase vehicle performance and efficiency
significantly. One fundamental question has remained unanswered, however: where should the feedback system’s actuators and sensors be located in the
flow? The state of the art is shockingly insufficient; the vast majority of studies use trial and error, or otherwise flawed heuristics. In this
seminar, we explore why some actuator and sensor placements are more effective than others. Specifically, we examine the optimal control of the
Ginzburg-Landau and Orr-Sommerfeld/Squire equations, using localized actuators and sensors. We implement a novel algorithm that efficiently iterates
toward optimal placements in these fluid flow models. The control theoretical and physical interpretations of the optimal placements yield a set of
heuristics that can help engineers predict effective actuator and sensor placements.
HOST:
Dr. Guus Jacobs
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