The University of Southampton
University of Southampton Institutional Repository

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

Active flow separation control by a positional based iterative learning control with experimental validation
Active flow separation control by a positional based iterative learning control with experimental validation
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.
Iterative learning control, active flow control, flow separation
0020-3270
633-641
Cai, Z.
dd8dd525-19a5-4792-a048-617340996afe
Chen, P.
9cb0bcb4-6fa8-4a1b-9f51-d0d95377053b
Angland, D.
b86880c6-31fa-452b-ada8-4bbd83cda47f
Zhang, X.
3056a795-80f7-4bbd-9c75-ecbc93085421
Cai, Z.
dd8dd525-19a5-4792-a048-617340996afe
Chen, P.
9cb0bcb4-6fa8-4a1b-9f51-d0d95377053b
Angland, D.
b86880c6-31fa-452b-ada8-4bbd83cda47f
Zhang, X.
3056a795-80f7-4bbd-9c75-ecbc93085421

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).

Record type: Article

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.

Full text not available from this repository.

More information

e-pub ahead of print date: 4 December 2013
Published date: January 2014
Keywords: Iterative learning control, active flow control, flow separation
Organisations: Aerodynamics & Flight Mechanics Group

Identifiers

Local EPrints ID: 351172
URI: http://eprints.soton.ac.uk/id/eprint/351172
ISSN: 0020-3270
PURE UUID: 8f57b604-b76d-4152-b31f-c0ef0eb74edf

Catalogue record

Date deposited: 16 Apr 2013 12:35
Last modified: 16 Jul 2019 21:37

Export record

Altmetrics

Contributors

Author: Z. Cai
Author: P. Chen
Author: D. Angland
Author: X. Zhang

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×