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Robust aeroelastic instability suppression of an advanced wing with model uncertainty in subsonic compressible flow field

机译:亚音速可压缩流场中具有模型不确定性的先进机翼的鲁棒气动弹性失稳抑制

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Korea University, Seoul 136-701, Republic of Korea;Korea University, Seoul 136-701, Republic of Korea;Korea University, Seoul 136-701, Republic of Korea;Korea University, Seoul 136-701, Republic of Korea;Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China;%This paper addresses the robust aeroelastic instability suppression of an advanced aircraft wing modeled as a thin-walled beam structure with fiber-reinforced composite material featuring a circumferentially asymmetric stiffness (CAS) configuration. The unsteady aerodynamic loads in subsonic compressible flow are derived through the indicial function approach. Aeroelastic instability suppression is achieved via sliding mode control (SMC) based on sliding mode observer (SMO). To demonstrate the robustness of the SMC based on SMO, linear quadratic Gaussian (LQG) methodology is compared with respect to the model uncertainty. To this end, the obtained numerical simulation results emphasize the efficiency of the sliding mode control based on sliding mode observer to control the unstable aeroelastic phenomenon in conjunction with the model uncertainty.
机译:韩国大学,韩国首尔136-701;韩国大学,韩国首尔136-701;韩国大学,韩国首尔136-701;韩国大学,韩国首尔136-701;西安中国西安,710049;%本文探讨了先进飞机机翼的气动弹性不稳定性抑制,该机翼建模为薄壁梁结构,其纤维增强复合材料具有圆周不对称刚度(CAS) )配置。亚音速可压缩流中的非稳态空气动力学载荷是通过局部函数方法得出的。通过基于滑模观察器(SMO)的滑模控制(SMC)可以实现气动弹性不稳定性的抑制。为了证明基于SMO的SMC的鲁棒性,将线性二次高斯(LQG)方法与模型不确定性进行了比较。为此,获得的数值模拟结果强调了基于滑模观测器的滑模控制在控制不稳定气弹现象和模型不确定性的同时的效率。

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