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Unsteady Aerodynamic and Dynamic Analysis of the Meridian UAS in a Rolling-Yawing Motion.

机译:子午线UAS在横摆运动中的非定常空气动力学分析。

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摘要

The nonlinear and unsteady aerodynamic effects of operating the Meridian unmanned aerial system (UAS) in crosswinds and at high angular rates is investigated in this work. The Meridian UAS is a large autonomous aircraft, with a V-tail configuration, operated in Polar Regions for the purpose of remotely measuring ice sheet thickness. The inherent nonlinear coupling produced by the V-tail, along with the strong atmospheric disturbances, has made classical model identification methods inadequate for proper model development. As such, a powerful tool known as Fuzzy Logic Modeling (FLM) was implemented to generate time-dependent, nonlinear, and unsteady aerodynamic models using flight test data collected in Greenland in 2011.;Prior to performing FLM, compatibility analysis is performed on the data, for the purpose of systematic bias removal and airflow angle estimation. As one of the advantages of FLM is the ability to model unsteady aerodynamics, the reduced frequency for both longitudinal and lateral-directional motions is determined from the unbiased data, using Theodorsen's theory of unsteadiness, which serves as an input parameter in modeling. These models have been used in this work to identify pilot induced oscillations, unsteady coupling motions, unsteady motion due to the slipstream and cross wind interaction, and destabilizing motions and orientations. This work also assesses the accuracy of preliminary aircraft dynamic models developed using engineering level software, and addresses the autopilot Extended Kalman Filter state estimations.
机译:在这项工作中,研究了在侧风和高角速率下运行子午线无人机系统(UAS)的非线性和非稳态空气动力效应。 Meridian UAS是一架大型V型尾翼自动驾驶飞机,在极地地区运行,目的是远程测量冰盖厚度。 V型尾部产生的固有非线性耦合以及强烈的大气干扰使经典的模型识别方法不足以进行正确的模型开发。因此,使用了功能强大的工具模糊逻辑建模(FLM),以使用2011年格陵兰岛上收集的飞行测试数据生成时变,非线性和不稳定的空气动力学模型;在执行FLM之前,对飞机进行兼容性分析。数据,以便系统地消除偏差和估计气流角度。由于FLM的优点之一是能够对非稳态空气动力学进行建模,因此,使用Theodorsen的非稳态理论作为建模的输入参数,可以从无偏数据确定纵向和横向运动的降低频率。这些模型已用于这项工作中,以识别飞行员引起的振荡,不稳定运动,由于滑流和侧风相互作用引起的不稳定运动以及不稳定的运动和方向。这项工作还评估了使用工程级软件开发的初步飞机动力学模型的准确性,并解决了自动驾驶仪扩展卡尔曼滤波器状态估计问题。

著录项

  • 作者

    Lykins, Ryan.;

  • 作者单位

    University of Kansas.;

  • 授予单位 University of Kansas.;
  • 学科 Engineering Aerospace.
  • 学位 M.S.
  • 年度 2014
  • 页码 110 p.
  • 总页数 110
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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