Active flow separation control by a positional based iterative learning control with experimental validation

Cai, Z., Chen, P., Angland, D. and Zhang, X. (2014) Active flow separation control by a positional based iterative learning control with experimental validation. International Journal of Control, 87 (3), 633-641. (doi:10.1080/00207179.2013.852251).

Abstract

A novel iterative learning control (ILC) algorithm was developed and applied to an active flow control problem. The technique uses pulsed air jets to delay flow separation on a two-element high-lift wing. The ILC algorithm uses position-based pressure measurements to update the actuation. The method was experimentally tested on a wing model in a 0.9 m × 0.6 m low-speed wind tunnel at the University of Southampton. Compressed air and fast switching solenoid valves were used as actuators to excite the flow, and the pressure distribution around the chord of the wing was measured as a feedback control signal for the ILC controller. Experimental results showed that the actuation was able to delay the separation and increase the lift by approximately 10%–15%. By using the ILC algorithm, the controller was able to find the optimum control input and maintain the improvement despite sudden changes of the separation position.

This record has no associated files available for download.

Contributors

Download statistics