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Vehicle Modeling for Flight Test Measurements of Ship Airwake Disturbances

机译:船舶航迹扰动飞行测试测量的车辆建模

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This paper describes modeling of small-scale rotorcraft using system identification and first-principles techniques. The vehicle model is used as part of a methodology to empirically validate coupled ship airwake and rotor wake computational fluid dynamics disturbance models used in Virtual Dynamic Interface (VDI) simulations with flight test data. The validation approach uses a gust identification algorithm to estimate disturbance characteristics from flight data. The algorithm uses a model of the aircraft dynamics, and therefore, accurate models of system dynamics are desirable. Several vehicles are being used to help validate the gust identification algorithm: the Hornet-Mini, a single-shaft remote control scale helicopter and the Iris+ quadrotor. This report summarizes work to estimate dynamic models of these vehicles with the AUSPEX and ClFER tools.
机译:本文介绍了使用系统识别和第一原理技术对小型旋翼飞机进行建模的方法。车辆模型被用作方法的一部分,以通过飞行测试数据对虚拟动态界面(VDI)仿真中使用的舰船尾流和转子尾流计算流体动力学扰动模型进行经验验证。验证方法使用阵风识别算法从飞行数据中估计干扰特征。该算法使用飞机动力学模型,因此,需要精确的系统动力学模型。有几种车辆正在用于帮助验证阵风识别算法:“大黄蜂”迷你型,单轴遥控比例直升机和“虹膜+”四旋翼飞机。本报告总结了使用AUSPEX和ClFER工具估算这些车辆动态模型的工作。

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