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Aeroservoelastic modeling and applications using minimum-state approximations of the unsteady aerodynamics

机译:使用非定常空气动力学最小状态近似的航空弹性建模和应用

摘要

Various control analysis, design, and simulation techniques for aeroelastic applications require the equations of motion to be cast in a linear time-invariant state-space form. Unsteady aerodynamics forces have to be approximated as rational functions of the Laplace variable in order to put them in this framework. For the minimum-state method, the number of denominator roots in the rational approximation. Results are shown of applying various approximation enhancements (including optimization, frequency dependent weighting of the tabular data, and constraint selection) with the minimum-state formulation to the active flexible wing wind-tunnel model. The results demonstrate that good models can be developed which have an order of magnitude fewer augmenting aerodynamic equations more than traditional approaches. This reduction facilitates the design of lower order control systems, analysis of control system performance, and near real-time simulation of aeroservoelastic phenomena.
机译:气动弹性应用的各种控制分析,设计和仿真技术都需要将运动方程式转换为线性时不变状态空间形式。不稳定的空气动力学力必须近似为拉普拉斯变量的有理函数,以便将其置于此框架中。对于最小状态法,分母根的数量在有理逼近中。显示了将最小状态公式应用于主动柔性机翼风洞模型的各种近似增强(包括优化,表格数据的频率相关加权和约束选择)的结果。结果表明,可以开发好的模型,其增加的空气动力学方程比传统方法少一个数量级。这种减少简化了低阶控制系统的设计,控制系统性能的分析以及航空兵弹性现象的近实时仿真。

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