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Development of robust control law for active buffeting load alleviation of smart fin structures

机译:鲁棒控制律的发展,以主动减轻智能鳍结构的抖振载荷

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Aerodynamic buffeting load can lead to premature fatigue damage of aircraft vertical fin structures. This article presents a robust control law development strategy for active buffeting load alleviation of a smart fin structure. The impact of aerodynamic loads on the modeling uncertainties of the smart fin was investigated through extensive wind tunnel tests. Test results revealed that the airflow introduced higher damping ratio and caused frequency shift to the vibration modes. These aerodynamic effects may adversely affect the performance and robustness of active control laws. Based on the observations, the structured singular value synthesis technique was used to develop a robust control law for the smart fin using a truncated baseline dynamic model. A parametric uncertainty block was introduced to account for the changes in the modal parameters of the baseline dynamic model due to the aerodynamic effects. An additive uncertainty block was included to account for the unmodeled higher-order vibration modes as well as the modeling errors in the low frequency range. The robust performance of the control law was demonstrated through simulations as well as extensive closed-loop control experiments in the wind tunnel using various free airstreams and vortical airflows. This provided a verified control law design strategy for active buffeting alleviation applications.
机译:空气动力抖振载荷会导致飞机垂直鳍结构的疲劳过早损坏。本文提出了一种鲁棒的控制规律开发策略,用于主动减轻智能鳍结构的抖振载荷。通过广泛的风洞试验研究了气动载荷对智能翅片建模不确定性的影响。测试结果表明,气流引入了更高的阻尼比,并导致了振动模式的频移。这些空气动力学效应可能会对主动控制律的性能和稳健性产生不利影响。基于这些观察,使用结构化奇异值合成技术使用截短的基线动态模型为智能鳍开发了鲁棒的控制律。引入了参数不确定性块,以解决由于空气动力学效应而导致的基线动态模型的模态参数的变化。其中包括一个附加的不确定性模块,以解决未建模的高阶振动模式以及低频范围内的建模误差。通过使用各种自由气流和涡流在风洞中进行的模拟以及广泛的闭环控制实验,证明了控制律的强大性能。这为主动抖振缓解应用程序提供了经过验证的控制律设计策略。

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