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Flutter Control of a Two-dimensional Airfoil based on Adaptive Dynamic Programming
Author(s) -
Su Jia,
Jiwei Sun,
Qian Ding
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/531/1/012033
Subject(s) - airfoil , flutter , aeroelasticity , aerodynamics , control theory (sociology) , computer science , controller (irrigation) , nonlinear system , trailing edge , dynamic programming , flight control surfaces , control (management) , control engineering , engineering , structural engineering , algorithm , artificial intelligence , aerospace engineering , agronomy , physics , quantum mechanics , biology
The severe aeroelastic vibrations can lead to structural damage and threaten the flight safety. It is an important topic to develop active controllers for aeroelastic stabilization and flutter suppression. The traditional control methods need the clearly established mathematic model, whereas establishing an accurate airfoil model with structural and aerodynamic nonlinearities is a difficult task. So a novel data-driven optimal design scheme, adaptive dynamic programming (ADP), is proposed in this paper for a nonlinear airfoil system with one trailing-edge control surface. The proposed ADP algorithm iteratively updates the control policy by using the state and input data without knowing the system dynamical model. Calculation shows that the control policy is convergent after several iterations. Finally, the superiority and feasibility of the control method are verified by simulation.

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