Data-driven active flutter control of airfoil with input constraints based on adaptive dynamic programming method

Author:

Jia Su12ORCID,Tang Ye12,Sun Jianqiao3ORCID,Ding Qian12

Affiliation:

1. Department of Mechanics, Tianjin University, Tianjin, China

2. Tianjin Key Laboratory of Nonlinear Dynamics and Control, China

3. School of Engineering, University of California, Merced, CA, USA

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.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Tianjin

China Postdoctoral Science Foundation

Publisher

SAGE Publications

Subject

Mechanical Engineering,Mechanics of Materials,Aerospace Engineering,Automotive Engineering,General Materials Science

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