Data-driven active flutter control of airfoil with input constraints based on adaptive dynamic programming method. (July 2022)

• Record Type: Journal Article
• Authors: Jia, Su; Tang, Ye; Sun, Jianqiao; Ding, Qian
• Is Part Of: Journal of vibration and control. Volume 28:Number 13/14(2022)
• Page Start: 1804
• Page End: 1817
• Publication Date: 2022-07
• Subjects: Data-driven optimal control -- active flutter control -- adaptive dynamic programming -- input constraints; Vibration -- Periodicals; Damping (Mechanics) -- Periodicals; 620.3
• DOI: 10.1177/10775463211001182
• Languages: English
• ISSNs: 1077-5463

Abstract

The stable flight region can be extended by adding control flap at the wing trailing edge and combined with active control technology. We studied the active flutter control by considering the input constraints. By designing the data-driven optimal controller, the limit cycle oscillations of a typical two-dimensional airfoil wing can be suppressed with single trailing edge control surface. The traditional control methods always need a precise mathematical model of the system, which put high requirements on system modeling. In this study, a novel data-driven optimal controller is proposed by using the input–output data and without depending on the nonlinear system dynamic model. This model-free approach avoids the effects of modeling errors and system uncertainty. When the data-driven controller is applied, the limit cycle oscillation phenomenon of the airfoil wing is eliminated within several seconds. It can be seen from the numerical simulation result that the data-driven adaptive dynamic programming control method possess superiority and feasibility.