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Aeroservoelastic Control Law Development for the Integrated Adaptive Wing Technology Maturation Wind-Tunnel Test

机译:集成自适应翼型技术成熟风隧道试验的气动弹性控制法

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In this paper, a linear quadratic Gaussian (LQG) regulator was applied to a computational aeroservoelastic (ASE) model of the Integrated Adaptive Wing Technology Maturation (IAWTM) wind-tunnel model to demonstrate its effectiveness for active flutter suppression. The aerodynamics within this computational ASE model were solved using unsteady Reynolds-averaged Navier-Stokes (RANS) equations; the structural dynamics of the model were solved using modal analysis. This RANS-based ASE model was used as the plant for the LQG regulator, which utilized a Kalman filter and controller that were derived from a reduced-order model (ROM) of the RANS-based ASE model. This ROM-based ASE model was generated using system identification techniques. It was shown that the Kalman filter adequately predicted important states of the plant, and that the LQG regulator successfully stabilized an aeroelastically unstable plant without exceeding reasonable control surface limitations. All of this was demonstrated using simulation data, and the methods presented here appear feasible for use in the upcoming IAWTM wind-tunnel tests.
机译:本文将线性二次高斯(LQG)调节器应用于集成自适应翼技术成熟(IAWTM)风隧道模型的计算Aeroservoelastic(ASE)模型,以证明其用于主动颤动抑制的有效性。使用不稳定的雷诺平均 - 平均Navier-Stokes(RAN)方程来解决该计算ASE模型中的空气动力学;使用模态分析解决了模型的结构动态。该基于RAN的ASE模型用作LQG调节器的工厂,其利用来自基于RAS的ASE模型的阶数模型(ROM)来源的卡尔曼滤波器和控制器。使用系统识别技术生成基于ROM的ASE模型。结果表明,卡尔曼滤波器充分预测了植物的重要状态,并且LQG调节器成功地稳定了气氛不稳定的植物,而不超过合理的控制表面限制。所有这些都是使用仿真数据演示的,这里提出的方法对于即将到来的IAWTM风隧道测试,可以使用。

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