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Integration of Hydraulic Lag-Damper Models with Helicopter Rotor Simulations

机译:液压滞后阻尼器模型与直升机旋翼仿真的集成

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This paper describes the design and integration of a generic hydraulic lag-damper model into an industrialnhelicopter rotor simulation code. The paper explains the details of an implementation of a computational platformnintegrating the rotor simulation code with a damper model.Aparametric physical damper model is developed here innorder to allow physically consistent improvements to helicopter performance studies. Further, this model enablesninvestigating novel uses of lag dampers, such as for vibration reduction. The physical consistency of this work isndemonstrated in two case studies. In the first instance, the damper laboratory experimental data are used for ancorrelation and validation study illustrating the capability of the modeling methodology to generate the model withnrefined response predictions. The second case study considers a physics-based lag-damper model with an active flownrestrictor based on a modified version of the validated passive damper model. This realistic model is shown to be ablento induce physically consistent changes in the nonrotating rotor-hub responses. A parametric study with harmonicnthree-per-revolution flow-restrictor activity suggests that significant load changes are possible in the nonrotating inplanenhub forces and moment. The study also shows possible tradeoffs such as high damper peak forcesncorresponding to the reduced in-plane forces. Therefore, the presence of these tradeoffs will require the use ofnconstrained optimization formulation to address more complex problem configurations.
机译:本文介绍了通用液压滞后阻尼器模型的设计以及如何将其集成到工业直升机旋翼仿真代码中。本文解释了将旋翼仿真代码与阻尼器模型集成在一起的计算平台的实现细节。这里将开发参数化物理阻尼器模型,以便在物理上持续改进直升机性能研究。此外,该模型能够研究滞后阻尼器的新颖用途,例如用于减振。在两个案例研究中证明了这项工作的物理一致性。首先,阻尼器实验室的实验数据用于相关性和有效性研究,说明了建模方法生成具有未定义响应预测的模型的能力。第二个案例研究考虑了一个基于物理学的滞后阻尼器模型,该模型具有经过验证的无源阻尼器模型的改进版本的有源限流器。该现实模型显示出能够在非旋转式转子轮毂响应中引起物理上一致的变化。一项关于每转三次谐波限流器活动的参数研究表明,在非旋转的行星轮毂力和力矩下,可能发生重大载荷变化。研究还显示了可能的权衡,例如高阻尼器峰值力对应于减小的平面内力。因此,这些折衷的存在将需要使用约束最优化的公式来解决更复杂的问题配置。

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