To suppress airfoil flutter, a lot of control methods have been proposed, such as classical control methods and optimal control methods. However, these methods did not consider the influence of actuator faults. We designed a new finite-time H ∞ adaptive fault-tolerant flutter controller by radial basis function neural network technology and adaptive fault-tolerant control methods, taking into account actuator faults, actuator saturation, modeling uncertainties and external disturbances. The theoretical section of this paper is about airfoil flutter dynamic modeling and the design of adaptive fault-tolerant controller. Lyapunov function and linear matrix inequality are employed to prove the stability of the proposed control method of this paper. The numeral simulation section further proves the effectiveness and robustness of the proposed control algorithm of this paper.

中文翻译：

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考虑执行器故障和时间延迟的带有观察器的颤振容错控制

为了抑制翼型颤振，人们提出了很多控制方法，如经典控制方法和最优控制方法。然而，这些方法没有考虑执行器故障的影响。我们采用径向基函数神经网络技术和自适应容错控制方法，考虑执行器故障、执行器饱和、建模不确定性和外部干扰，设计了一种新的有限时间H ∞ 自适应容错颤振控制器。本文的理论部分是关于翼型颤振动力学建模和自适应容错控制器的设计。采用李雅普诺夫函数和线性矩阵不等式来证明本文提出的控制方法的稳定性。