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An Analysis of the Optimal Control Modification Method Applied to Flutter Suppression

机译:颤振抑制的最优控制修正方法分析

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Unlike standard Model Reference Adaptive Control (MRAC), Optimal Control Modification (OCM) has been shown to be a promising MRAC modification with robustness and analytical properties not present in other adaptive control methods. This paper presents an analysis of the OCM method, and how the asymptotic property of OCM is useful for analyzing and tuning the controller. We begin with a Lyapunov stability proof of an OCM controller having two adaptive gain terms, then the less conservative and easily analyzed OCM asymptotic property is presented. Two numerical examples are used to show how this property can accurately predict steady state stability and quantitative robustness in the presence of time delay, and relative to linear plant perturbations, and nominal Loop Transfer Recovery (LTR) tuning . The asymptotic property of the OCM controller is then used as an aid in tuning the controller applied to a large scale aeroservoelastic longitudinal aircraft model for flutter suppression. Control with OCM adaptive augmentation is shown to improve performance over that of the nominal non-adaptive controller when significant disparities exist between the controller/observer model and the true plant model.
机译:与标准模型参考自适应控制(MRAC)不同,最优控制修改(OCM)已被证明是一种有前途的MRAC修改,其鲁棒性和分析特性在其他自适应控制方法中均不存在。本文介绍了OCM方法的分析,以及OCM的渐近特性如何用于分析和调整控制器。我们从具有两个自适应增益项的OCM控制器的Lyapunov稳定性证明开始,然后介绍保守度较低且易于分析的OCM渐近性质。使用两个数值示例来显示此属性如何在存在时间延迟的情况下以及相对于线性工厂扰动和标称环路转移恢复(LTR)调整的情况下准确地预测稳态稳定性和定量鲁棒性。然后,将OCM控制器的渐近特性用作调整控制器的辅助工具,该控制器应用于大型航空弹性纵向飞机模型以抑制扑动。当控制器/观察者模型与真实工厂模型之间存在显着差异时,表明使用OCM自适应增强进行的控制可提高标称非自适应控制器的性能。

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