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Identification of Aerodynamic Parameters for a Small UAV from Flight Data

机译:从飞行数据中识别小型无人机的空气动力学参数

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This paper presents the preliminary results of a time-domain parameter identification effortwith flight data collected at West Virginia University (WVU) using a Small UnmannedAerial Vehicle (UAV) – the WVU “Phastball”. Traditional doublet maneuvers on thelongitudinal and lateral channels were performed by a Remote Control (R/C) pilot. Fromthe flight data, a linear state space model was first derived using the Matlab~? SystemIdentification toolbox and then optimized using System IDentification Programs forAirCraft (SIDPAC) software package. The optimized linear state space model was then usedto generate the aerodynamic coefficients, which were in turn optimized using a non-linearoptimization technique and their accuracy validated within a Simulink simulator. Theaircraft model thus identified will be used in the design, implementation and flight testvalidation of fault tolerant flight control schemes on the WVU Phastball.
机译:本文介绍了时域参数识别工作的初步结果 在西弗吉尼亚大学(WVU)使用小型无人飞行器收集的飞行数据 飞机(UAV)– WVU的“ Phastball”。传统的双重态演习 纵向和横向通道由远程控制(R / C)飞行员执行。从 在飞行数据中,首先使用Matlab推导了线性状态空间模型。系统 识别工具箱,然后使用系统识别程序对 AirCraft(SIDPAC)软件包。然后使用优化的线性状态空间模型 生成空气动力学系数,然后使用非线性对其进行优化 Simulink模拟器中验证了优化技术及其准确性。这 这样确定的飞机模型将用于设计,实施和飞行测试中 WVU Phastball上的容错飞行控制方案的验证。

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