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System Identification of a Circulation Control UAV Using X-Plane Flight Simulation Software and Flight Data

机译:使用X-Plane飞行模拟软件和飞行数据的循环控制无人机的系统识别

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This paper presents a system identification method using simulation and flight data to derive a mathematical model for a small-scale fixed-wing Circulation Control UAV (UC~2AV). Longitudinal dynamic models of the RMRC Anaconda UAV and the UC~2AV have been obtained using the X-Plane flight simulation software and CIFER flight identification software. Longitudinal stability and control derivatives that show the relationship between control surface deflection angles and the pitching moment have been derived. Flight tests of the UC~2AV with the Circulation Control system active are conducted to capture the effect of Circulation Control on the models and adjust the models accordingly. Verification experiments demonstrate good match between model and aircraft (RMS error < 1.4) and good model predictive ability (Theil inequality coefficient is < 0.19).
机译:本文提出了一种利用仿真和飞行数据来推导小型固定翼循环控制无人机(UC〜2AV)的数学模型的系统辨识方法。使用X-Plane飞行模拟软件和CIFER飞行识别软件获得了RMRC Anaconda无人机和UC〜2AV的纵向动力学模型。得出了显示控制面偏转角和俯仰力矩之间关系的纵向稳定性和控制导数。在启用循环控制系统的情况下,对UC〜2AV进行飞行测试,以了解循环控制对模型的影响并相应地调整模型。验证实验表明,模型与飞机之间的匹配良好(RMS误差<1.4),并且模型具有良好的预测能力(Theil不等式系数<0.19)。

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