Event Detail

Event Type: 
Applied Mathematics and Computation Seminar
Friday, May 22, 2009 - 05:00
GLK 113

Speaker Info

Mechanical Engineering (OSU)

The flight stability of micro air vehicles (MAV) is challenged by gusts of wind and unsteady low Reynolds number environments. Our research is inspired by the biological hair receptor array as a means of flow detection and control to enhance MAV stability and maneuverability. The first part of this presentation will focus on the hair receptor array for flow detection. Modeling each hair as a viscoelastic Euler-Bernoulli beam, an array of surface mounted hairs were simulated in unsteady flow separation. The collective mechanical response at the base of each hair accurately indicated the onset of unsteady flow separation, the formation and movement of near wall vortices and the location of the point of zero wall shear stress. Optimal hair lengths for boundary layer flows were also computed and in close agreement with the range of measured hair receptor lengths. The second half of the presentation will focus on flow control design with hair receptor arrays. In the design of closed-loop model-based flow controllers, state information is often provided from impractical locations for measurements using generalized sensor models. We mathematically integrate the bioinspired hair sensor array in a linear quadratic Gaussian observer for an unsteady Oseen flow field. Accurate flow field estimation could help realized closed-loop flow control designs where only surface measurements are available, such as in MAV applications.